Machine Learning Paper Titles

Titles.txt

Scikit-learn: Machine learning in Python
Pattern recognition and machine learning
Gaussian processes in machine learning
Machine learning in automated text categorization
Machine learning
Thumbs up?: sentiment classification using machine learning techniques
Ensemble methods in machine learning
C4. 5: programs for machine learning
UCI machine learning repository
Data Mining: Practical machine learning tools and techniques
Introduction to machine learning
Tensorflow: A system for large-scale machine learning
Sparse Bayesian learning and the relevance vector machine
Machine learning for high-speed corner detection
Machine learning: a probabilistic perspective
Selection of relevant features and examples in machine learning
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
Supervised machine learning: A review of classification techniques
Large-scale machine learning with stochastic gradient descent
Machine learning
Correlation-based feature selection for machine learning
A few useful things to know about machine learning.
Practical bayesian optimization of machine learning algorithms
Machine-learning research
Support vector machine active learning with applications to text classification
The boosting approach to machine learning: An overview
Dlib-ml: A machine learning toolkit
The immune system, adaptation, and machine learning
Map-reduce for machine learning on multicore
Weka: A machine learning workbench
Incremental and decremental support vector machine learning
Bioinformatics: the machine learning approach
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Support vector machine active learning for image retrieval
Foundations of machine learning
Mllib: Machine learning in apache spark
Some Studies in Machine Learning Using the Game of Checkers. II—Recent Progress
Correlation-based feature selection of discrete and numeric class machine learning
Multiagent systems: A survey from a machine learning perspective
Support vector machine learning for interdependent and structured output spaces
Torch7: A matlab-like environment for machine learning
Introduction to machine learning
Machine learning: an algorithmic perspective
Bayesian reasoning and machine learning
Machine learning: Trends, perspectives, and prospects
Kernel methods in machine learning
Sparse greedy matrix approximation for machine learning
Faster and better: A machine learning approach to corner detection
Machine learning classifiers and fMRI: a tutorial overview
Dataset shift in machine learning
Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning
Understanding machine learning: From theory to algorithms
Learning with kernels: support vector machines, regularization, optimization, and beyond
A study of the behavior of several methods for balancing machine learning training data
Machine learning in action
“Memo” functions and machine learning
Distributed GraphLab: a framework for machine learning and data mining in the cloud
Improving machine learning approaches to coreference resolution
Estimating probabilities: a crucial task in machine learning.
Flow clustering using machine learning techniques
Elements of machine learning
Optimization for machine learning
A machine learning approach to coreference resolution of noun phrases
Reconciling schemas of disparate data sources: A machine-learning approach
Dadiannao: A machine-learning supercomputer
OP-ELM: optimally pruned extreme learning machine
A survey of techniques for internet traffic classification using machine learning.
Machine learning and data mining
Machine learning for user modeling
Ontology matching: A machine learning approach
Weka: Practical machine learning tools and techniques with Java implementations
Machine learning in bioinformatics
Can machine learning be secure?
Orange: From experimental machine learning to interactive data mining
The discipline of machine learning
Gaussian processes for machine learning (GPML) toolbox
Machine learning from imbalanced data sets 101
Intrusion detection by machine learning: A review
Encyclopedia of machine learning
Machine learning for sequential data: A review
Graphlab: A new framework for parallel machine learning
Gaussian processes for machine learning
An introduction to machine learning
Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems
Torch: a modular machine learning software library
Convolutional LSTM network: A machine learning approach for precipitation nowcasting
Introduction to machine learning
Deep machine learning-a new frontier in artificial intelligence research
Adversarial machine learning
Gaussian processes for machine learning
Machine perception
Outside the closed world: On using machine learning for network intrusion detection
Applications of machine learning and rule induction
Machine learning for medical diagnosis: history, state of the art and perspective
Practical feature subset selection for machine learning
The SHOGUN machine learning toolbox
Automated traffic classification and application identification using machine learning
Text categorization with support vector machines: Learning with many relevant features
Uncovering social spammers: social honeypots+ machine learning
Recognizing facial expression: machine learning and application to spontaneous behavior
Machine learning approaches to estimating software development effort
Emotions from text: machine learning for text-based emotion prediction
Introduction to reinforcement learning
Quantum machine learning
Scaling distributed machine learning with the parameter server
The cross-entropy method: a unified approach to combinatorial optimization, Monte-Carlo simulation and machine learning
Predicting the future—big data, machine learning, and clinical medicine
Classes of kernels for machine learning: a statistics perspective
Interactive machine learning
Drug design by machine learning: support vector machines for pharmaceutical data analysis
Probabilistic machine learning and artificial intelligence
Graphical models for machine learning and digital communication
Sequential methods in pattern recognition and machine learning
A machine learning approach to twitter user classification
Weka-a machine learning workbench for data mining
Structural health monitoring: a machine learning perspective
Determinantal point processes for machine learning
Collaborative learning: Cognitive and computational approaches. advances in learning and instruction series.
Machine learning applications in cancer prognosis and prediction
Automating the construction of internet portals with machine learning
Readings in machine learning
Machine learning applications in genetics and genomics
Fast and accurate modeling of molecular atomization energies with machine learning
Using emoticons to reduce dependency in machine learning techniques for sentiment classification
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Automatic analysis of malware behavior using machine learning
Feature selection for machine learning: comparing a correlation-based filter approach to the wrapper.
Improving propensity score weighting using machine learning
Diannao: A small-footprint high-throughput accelerator for ubiquitous machine-learning
A survey of multi-view machine learning
Machine learning phases of matter
Extreme learning machine: theory and applications
MLC++: A machine learning library in C++
Practical black-box attacks against machine learning
Using machine learning to focus iterative optimization
Predicting hepatitis B virus–positive metastatic hepatocellular carcinomas using gene expression profiling and supervised machine learning
Applications of machine learning in cancer prediction and prognosis
Machine learning approaches for the prediction of signal peptides and other protein sorting signals
Introduction to statistical relational learning
Machine learning: a theoretical approach
Overfitting and undercomputing in machine learning
Python machine learning
Adversarial machine learning at scale
Introduction to machine learning for brain imaging
Scaling up machine learning: Parallel and distributed approaches
Business data mining—a machine learning perspective
Using Machine Learning Techniques to Identify Botnet Traffic.
Some studies in machine learning using the game of checkers. II—Recent progress
Machine learning methods for classifying human physical activity from on-body accelerometers
A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
Machine learning: a review of classification and combining techniques
Information extraction from HTML: Application of a general machine learning approach
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
Efficient and robust automated machine learning
Optimization methods for large-scale machine learning
Machine learning with R
Machine learning and its applications to biology
Sentiment classification of online reviews to travel destinations by supervised machine learning approaches
Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]
Machine learning and data mining
Ensemble machine learning: methods and applications
Text classification using machine learning techniques.
Power utility nontechnical loss analysis with extreme learning machine method
Pylearn2: a machine learning research library
An empirical comparison of pattern recognition, neural nets and machine learning classification methods
A review of relational machine learning for knowledge graphs
Machine learning of temporal relations
How the machine 'thinks': Understanding opacity in machine learning algorithms
Open-source machine learning: R meets Weka
Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms
mlr: Machine Learning in R
Machine learning
Learning deep architectures for AI
Multi-objective machine learning
API design for machine learning software: experiences from the scikit-learn project
Applications of machine learning to cognitive radio networks
SystemML: Declarative machine learning on MapReduce
Ensemble machine learning on gene expression data for cancer classification
MLbase: A Distributed Machine-learning System.
Machine learning and radiology
Machine learning classification over encrypted data.
Human brain and human learning
A review of machine learning approaches to spam filtering
Machine learning for information retrieval: neural networks, symbolic learning, and genetic algorithms
Classifying spatial patterns of brain activity with machine learning methods: application to lie detection
On-line algorithms in machine learning
Transfer learning
Application of machine learning to epileptic seizure detection
Machine learning methods without tears: a primer for ecologists
Neural machine translation by jointly learning to align and translate
Global discretization of continuous attributes as preprocessing for machine learning
Machine learning attacks against the Asirra CAPTCHA
Using machine learning to break visual human interaction proofs (HIPs)
Machine learning in medicine
Protein secondary structure prediction using logic-based machine learning
Combining satellite imagery and machine learning to predict poverty
Machine learning benchmarks and random forest regression
A comparison of machine learning techniques for phishing detection
Learning to learn with the informative vector machine
A machine learning approach to workflow management
An application of machine learning to network intrusion detection
A fast pruned-extreme learning machine for classification problem
A review of machine learning algorithms for text-documents classification
Evasion attacks against machine learning at test time
Data mining: machine learning, statistics, and databases
Machine learning: the art and science of algorithms that make sense of data
OpenML: networked science in machine learning
Experiments with random projections for machine learning
Biometric authentication: a machine learning approach
Non-asymptotic analysis of stochastic approximation algorithms for machine learning
Meta optimization: improving compiler heuristics with machine learning
Gene selection from microarray data for cancer classification—a machine learning approach
Tuning metaheuristics: a machine learning perspective
Accelerating materials property predictions using machine learning
Factorizing yago: scalable machine learning for linked data
Ontology learning for the semantic web
Data mining, hypergraph transversals, and machine learning
Finding density functionals with machine learning
Three-objective genetics-based machine learning for linguistic rule extraction
Machine learning: an applied econometric approach
A hybrid machine learning approach to network anomaly detection
An application of machine learning to anomaly detection
ML confidential: Machine learning on encrypted data
Machine learning for neuroimaging with scikit-learn
Ensemble based extreme learning machine
Cached sufficient statistics for efficient machine learning with large datasets
Distributed optimization and statistical learning via the alternating direction method of multipliers
SoilGrids250m: Global gridded soil information based on machine learning
Neuro-fuzzy and soft computing-a computational approach to learning and machine intelligence [Book Review]
Machine learning that matters
Beyond PageRank: machine learning for static ranking
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability
Machine learning in DNA microarray analysis for cancer classification
On optimization methods for deep learning
Student modeling and machine learning
Predicting solar generation from weather forecasts using machine learning
Qrp05-4: Internet traffic identification using machine learning
Machine learning methods for quantitative radiomic biomarkers
IAM graph database repository for graph based pattern recognition and machine learning
Machine-learning-assisted materials discovery using failed experiments
A survey of data mining and machine learning methods for cyber security intrusion detection
Using machine learning to detect cyberbullying
Genetic algorithms as a tool for feature selection in machine learning
Database schema matching using machine learning with feature selection
A machine learning approach to musical style recognition
Java-ml: A machine learning library
On machine intelligence
Improve computer-aided diagnosis with machine learning techniques using undiagnosed samples
A machine learning architecture for optimizing web search engines
Newsweeder: Learning to filter netnews
The information content of forward‐looking statements in corporate filings—A naïve Bayesian machine learning approach
Curriculum learning
The geometry of ROC space: understanding machine learning metrics through ROC isometrics
Incorporating prior information in machine learning by creating virtual examples
A machine learning approach to building domain-specific search engines
Combining Data Mining and Machine Learning for Effective User Profiling.
Application of metabolomics to plant genotype discrimination using statistics and machine learning
Wrapper maintenance: A machine learning approach
Making machine learning models interpretable.
Applications of machine learning to ecological modelling
Towards a rigorous science of interpretable machine learning
Learning Collaborative Information Filters.
A machine learning approach to android malware detection
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Pareto-based multiobjective machine learning: An overview and case studies
Quantum algorithms for supervised and unsupervised machine learning
Machine learning for fast quadrupedal locomotion
Biometrics from brain electrical activity: A machine learning approach
Machine learning techniques for the computer security domain of anomaly detection.
Preventing student dropout in distance learning using machine learning techniques
The MNIST database of handwritten digit images for machine learning research [best of the web]
Machine learning for detecting gene-gene interactions
The computational complexity of machine learning
Introduction to machine learning
Information gain and divergence-based feature selection for machine learning-based text categorization
Predicting multiple metrics for queries: Better decisions enabled by machine learning
Machine learning techniques for brain-computer interfaces
Application of Machine Learning Algorithms to KDD Intrusion Detection Dataset within Misuse Detection Context.
Kernel methods in system identification, machine learning and function estimation: A survey
Building domain-specific search engines with machine learning techniques
Stealing machine learning models via prediction apis
Machine learning for real-time single-trial EEG-analysis: from brain–computer interfacing to mental state monitoring
Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning
An investigation of machine learning based prediction systems
Pattern recognition and machine learning
Fault diagnosis of ball bearings using machine learning methods
Machine learning in wireless sensor networks: Algorithms, strategies, and applications
A machine learning approach to sentiment analysis in multilingual Web texts
An introduction to quantum machine learning
Principles of data mining (adaptive computation and machine learning)
Transferability in machine learning: from phenomena to black-box attacks using adversarial samples
Improved base calling for the Illumina Genome Analyzer using machine learning strategies
Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters.
Machine learning approaches to manufacturing
A machine-learning approach to automated negotiation and prospects for electronic commerce
Data mining and machine learning in cybersecurity
Large-scale machine learning at twitter
Deep learning
cleverhans v1. 0.0: an adversarial machine learning library
Semi-supervised learning using gaussian fields and harmonic functions
A survey on machine-learning techniques in cognitive radios
Machine learning for science: state of the art and future prospects
Data mining using/spl Mscr//spl Lscr//spl Cscr/++ a machine learning library in C++
Challenges in real-life emotion annotation and machine learning based detection
Genetics-based machine learning and behavior-based robotics: a new synthesis
Challenges in representation learning: A report on three machine learning contests
Recognizing names in biomedical texts: a machine learning approach
Machine learning methods in chemoinformatics
Bayesian inference: An introduction to principles and practice in machine learning
Imbalanced-learn: A python toolbox to tackle the curse of imbalanced datasets in machine learning
Machine learning of molecular electronic properties in chemical compound space
Speeding up distributed machine learning using codes
Machine learning paradigms for next-generation wireless networks
Machine learning in medical imaging
Application of machine learning techniques for supply chain demand forecasting
MLPACK: A scalable C++ machine learning library
Information-theoretic metric learning
Disambiguating proteins, genes, and RNA in text: a machine learning approach
Density ratio estimation in machine learning
Intensity-based protein identification by machine learning from a library of tandem mass spectra
Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
A study on several machine-learning methods for classification of malignant and benign clustered microcalcifications
Membership inference attacks against machine learning models
Towards energy-aware scheduling in data centers using machine learning
Extreme learning machine for regression and multiclass classification
Principles and theory for data mining and machine learning
Applying machine learning to software fault-proneness prediction
Tensor decomposition for signal processing and machine learning
A machine learning approach to visual perception of forest trails for mobile robots
PREDICTING STUDENTS'PERFORMANCE IN DISTANCE LEARNING USING MACHINE LEARNING TECHNIQUES
Collaborative filtering: A machine learning perspective
Detecting spam blogs: A machine learning approach
Machine learning: discriminative and generative
Finding nature's missing ternary oxide compounds using machine learning and density functional theory
Big data classification: Problems and challenges in network intrusion prediction with machine learning
The application of machine learning to structural health monitoring
Machine learning of generic and user-focused summarization
Empirical assessment of machine learning based software defect prediction techniques
Application of machine learning to epileptic seizure onset detection and treatment
Emotional state classification from EEG data using machine learning approach
Machine learning methods for solar radiation forecasting: A review
An empirical comparison of machine learning models for time series forecasting
Learning algorithms for the classification restricted boltzmann machine
Morphological classification of brains via high-dimensional shape transformations and machine learning methods
A machine learning approach to automatic production of compiler heuristics
Dropout prediction in e-learning courses through the combination of machine learning techniques
Using GPUs for machine learning algorithms
Communication efficient distributed machine learning with the parameter server
Scaling up: Distributed machine learning with cooperation
OptiML: an implicitly parallel domain-specific language for machine learning
Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification
Finding latent code errors via machine learning over program executions
JAABA: interactive machine learning for automatic annotation of animal behavior
Using machine-learning methods for musical style modeling
Extreme learning machine: a new learning scheme of feedforward neural networks
Does machine learning really work?
Data mining and machine learning in astronomy
Self-taught learning: transfer learning from unlabeled data
Fall detection and activity recognition with machine learning
Genetic algorithms for machine learning
Machine-learning approaches in drug discovery: methods and applications
Machine learning and law
Accurately and reliably extracting data from the web: A machine learning approach
Learning to rank using gradient descent
High-level student modeling with machine learning
Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme
Advances in machine learning based text categorization.
Landslide susceptibility assessment using SVM machine learning algorithm
Machine learning bias, statistical bias, and statistical variance of decision tree algorithms
Interactive machine learning: letting users build classifiers
A machine learning approach to reading level assessment
Classification of mental tasks from EEG signals using extreme learning machine
Extracting sentence segments for text summarization: a machine learning approach
A review of machine learning in scheduling
Revisiting the Nyström method for improved large-scale machine learning
Detecting P2P botnets through network behavior analysis and machine learning
Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools
Lifelong machine learning systems: Beyond learning algorithms
Efficient machine learning for big data: A review
Pudiannao: A polyvalent machine learning accelerator
Detection of phishing attacks: A machine learning approach
Playing atari with deep reinforcement learning
Coordinated management of multiple interacting resources in chip multiprocessors: A machine learning approach
Mapping parallelism to multi-cores: a machine learning based approach
A supervised machine learning algorithm for arrhythmia analysis
Machine learning for adaptive user interfaces
Kernel techniques: from machine learning to meshless methods
A machine-learning approach for classifying and categorizing android sources and sinks.
Machine Learning For Transliteration
Consumer credit-risk models via machine-learning algorithms
Integrating machine learning and workflow management to support acquisition and adaptation of workflow models
Machine learning of inductive bias
The elements of statistical learning: data mining, inference, and prediction, Springer Series in Statistics
A machine learning information retrieval approach to protein fold recognition
Automated behavioral and static analysis using an instrumented sandbox and machine learning classification for mobile security
Machine-learning algorithms for credit-card applications
Machine learning in control of functional electrical stimulation systems for locomotion
Learning with drift detection
Automatic text summarization using a machine learning approach
Learning to combine foveal glimpses with a third-order Boltzmann machine
Assessment and validation of machine learning methods for predicting molecular atomization energies
A machine learning based approach for table detection on the web
Mean-field theory of Boltzmann machine learning
Cantina+: A feature-rich machine learning framework for detecting phishing web sites
Machine learning using a higher order correlation network
Automatic differentiation in machine learning: a survey
Machine learning approach to modeling sediment transport
Perspective: Machine learning potentials for atomistic simulations
A comparison of machine learning methods for the diagnosis of pigmented skin lesions
Machine learning: a Bayesian and optimization perspective
Comparative experiments on disambiguating word senses: An illustration of the role of bias in machine learning
Argument based machine learning
MLI: An API for distributed machine learning
Rapid and quantitative detection of the microbial spoilage of meat by Fourier transform infrared spectroscopy and machine learning
The need for open source software in machine learning
Bundle methods for machine learning
Intrusion detection. Applying machine learning to Solaris audit data
The foundations of cost-sensitive learning
Machine learning techniques in spam filtering
A first course in machine learning
Unintended consequences of machine learning in medicine
Rule-based machine learning methods for functional prediction
Multiple criteria for evaluating machine learning algorithms for land cover classification from satellite data
Kernel methods and machine learning
Fuzzy methods in machine learning and data mining: Status and prospects
Estimating soil moisture using remote sensing data: A machine learning approach
A machine learning approach to web page filtering using content and structure analysis
A machine learning approach to predicting protein–ligand binding affinity with applications to molecular docking
Evolutionary computation meets machine learning: A survey
Data Mining Using a Machine Learning Library in C++
Sample size selection in optimization methods for machine learning
Machine learning paradigms for speech recognition: An overview
An empirical comparison of supervised learning algorithms
Analysis of machine learning techniques used in behavior-based malware detection
Job shop scheduling with a genetic algorithm and machine learning
Milepost gcc: Machine learning enabled self-tuning compiler
Incremental support vector machine learning: A local approach
An empirical study of machine learning techniques for affect recognition in human–robot interaction
The problem of tuning metaheuristics as seen from a machine learning perspective
Inductive principles for restricted Boltzmann machine learning
Sentiment analysis in twitter using machine learning techniques
Machine-learning applications of algorithmic randomness
Machine learning methods for ecological applications
A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT …
Learning fast approximations of sparse coding
Combinatorial screening for new materials in unconstrained composition space with machine learning
A machine learning approach for efficient traffic classification
Petuum: A new platform for distributed machine learning on big data
Automated classification of bird and amphibian calls using machine learning: A comparison of methods
Keepaway soccer: From machine learning testbed to benchmark
Machine learning for detection and diagnosis of disease
Machine learning for high-throughput stress phenotyping in plants
KNN based machine learning approach for text and document mining
Genome-scale identification of Legionella pneumophila effectors using a machine learning approach
Power to the people: The role of humans in interactive machine learning
Markov games as a framework for multi-agent reinforcement learning
Predicting MOOC dropout over weeks using machine learning methods
Machine learning for aerial image labeling
BELM: Bayesian extreme learning machine
Categorial approach to machine learning
EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers
Detecting text similarity over short passages: Exploring linguistic feature combinations via machine learning
Choosing prediction over explanation in psychology: Lessons from machine learning
Support vector machines for multiple-instance learning
A general method for scaling up machine learning algorithms and its application to clustering
Drug design by machine learning: The use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to …
Machine learning methods for predicting failures in hard drives: A multiple-instance application
Machine learning for medical imaging
A study of distance-based machine learning algorithms
Fall classification by machine learning using mobile phones
Niche modeling perspective on geographic range predictions in the marine environment using a machine-learning algorithm
Machine learning for Arabic text categorization
Special issue on learning from imbalanced data sets
Improving accuracy in word class tagging through the combination of machine learning systems
Frog classification using machine learning techniques
Detecting spam bots in online social networking sites: a machine learning approach
Global discretization of continuous attributes as preprocessing for machine learning
Practical issues in temporal difference learning
The marginal value of adaptive gradient methods in machine learning
Predicting future hourly residential electrical consumption: A machine learning case study
Exploiting Machine Learning to Subvert Your Spam Filter.
Learning phrase representations using RNN encoder-decoder for statistical machine translation
Machine learning for spoken dialogue systems
Automated static code analysis for classifying android applications using machine learning
Structure-activity relationships derived by machine learning: The use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming
Machine learning with R
Syntactic n-grams as machine learning features for natural language processing
Gait event detection for FES using accelerometers and supervised machine learning
Database dependency discovery: a machine learning approach
Machine learning approaches for estimation of prediction interval for the model output
Predicting stock and stock price index movement using trend deterministic data preparation and machine learning techniques
Hidden technical debt in machine learning systems
Rainfall forecasting by technological machine learning models
Types of machine learning algorithms
Convex incremental extreme learning machine
Metric learning: A survey
Machine learning based encrypted traffic classification: Identifying ssh and skype
Molecular dynamics with on-the-fly machine learning of quantum-mechanical forces
Heterogeneous uncertainty sampling for supervised learning
Machine learning, medical diagnosis, and biomedical engineering research-commentary
A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data
Systematic literature review of machine learning based software development effort estimation models
Prediction modeling using EHR data: challenges, strategies, and a comparison of machine learning approaches
Machine learning via polyhedral concave minimization
Machine learning for android malware detection using permission and api calls
Using machine learning to improve information access
Machine learning methods for metabolic pathway prediction
Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems
Machine learning of natural language
Machine learning strategies for time series forecasting
Towards a holistic approach to auto-parallelization: integrating profile-driven parallelism detection and machine-learning based mapping
A comparative study of machine learning methods for authorship attribution
A survey of machine learning for big data processing
MoleculeNet: a benchmark for molecular machine learning
Inductive learning algorithms and representations for text categorization
Bypassing the Kohn-Sham equations with machine learning
Least squares support vector machine classifiers
Everything old is new again: a fresh look at historical approaches in machine learning
Hedging predictions in machine learning
Machine learning for the New York City power grid
Adaptive information retrieval: machine learning in associate networks
Machine learning and prediction in medicine—beyond the peak of inflated expectations
A systematic review of machine learning techniques for software fault prediction
Machine learning methods in the environmental sciences: Neural networks and kernels
An evaluation of machine-learning methods for predicting pneumonia mortality
Machine learning and software engineering
Machine learning of accurate energy-conserving molecular force fields
Missing data imputation using statistical and machine learning methods in a real breast cancer problem
Machine learning methods for fully automatic recognition of facial expressions and facial actions
Online learning and online convex optimization
Oblivious multi-party machine learning on trusted processors
Learning question classifiers
Machine learning in financial crisis prediction: a survey
Machine learning for precise quantum measurement
A comparative study of different machine learning methods on microarray gene expression data
Three machine learning techniques for automatic determination of rules to control locomotion
Svmlight: Support vector machine
Machine learning in medical applications
Mapping land-cover modifications over large areas: A comparison of machine learning algorithms
A planning quality evaluation tool for prostate adaptive IMRT based on machine learning
Machine learning approaches to power-system security assessment
Extraction of gene-disease relations from Medline using domain dictionaries and machine learning
Adaptation, learning, and optimization over networks
Machine learning with SVM and other kernel methods
Machine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates
MILEPOST GCC: machine learning based research compiler
Active learning with statistical models
Galaxy Zoo: reproducing galaxy morphologies via machine learning
Deep reinforcement learning with double q-learning
An experimental comparison of human and machine learning formalisms
Machine-learning paradigms for selecting ecologically significant input variables
Fall detection and activity recognition with machine learning
System for intrusion detection and vulnerability assessment in a computer network using simulation and machine learning
Principles of explanatory debugging to personalize interactive machine learning
Imputation of Missing Data Using Machine Learning Techniques.
Machine learning biochemical networks from temporal logic properties
Asynchronous methods for deep reinforcement learning
Multiple kernel learning, conic duality, and the SMO algorithm
Machine learning phases of strongly correlated fermions
Sparse Bayesian extreme learning machine for multi-classification
Neural networks for machine learning lecture 6a overview of mini-batch gradient descent
Registration and machine learning-based automated segmentation of subcortical and cerebellar brain structures
Method and apparatus for machine learning a document relevance function
Intelligent scheduling with machine learning capabilities: the induction of scheduling knowledge
Machine-learning-based coadaptive calibration for brain-computer interfaces
Eigentransfer: a unified framework for transfer learning
Learning robot behaviour and skills based on human demonstration and advice: the machine learning paradigm
Machine learning and data mining methods in diabetes research
Machine learning based botnet detection using real-time extracted traffic features
How to represent crystal structures for machine learning: Towards fast prediction of electronic properties
Practical real-time intrusion detection using machine learning approaches
Dynamic power management using machine learning
Machine learning for molecular and materials science
Machine learning in cell biology–teaching computers to recognize phenotypes
A machine learning approach for tracing regulatory codes to product specific requirements
Interactive machine learning for health informatics: when do we need the human-in-the-loop?
Active learning with support vector machine applied to gene expression data for cancer classification
Learning to link with wikipedia
Mechanism design via machine learning
Knowledge acquisition of predicate argument structures from technical texts using Machine Learning: the system Asium
Machine learning predictions of molecular properties: Accurate many-body potentials and nonlocality in chemical space
Side channel attack: an approach based on machine learning
Forest biomass estimation from airborne LiDAR data using machine learning approaches
Machine learning for predictive maintenance: A multiple classifier approach
Bob: a free signal processing and machine learning toolbox for researchers
Machine learning based electronic messaging system
Knowledge acquisition from amino acid sequences by machine learning system BONSAI
Machine learning in geosciences and remote sensing
Evaluating machine learning models for engineering problems
Browsing on small screens: recasting web-page segmentation into an efficient machine learning framework
Parameter server for distributed machine learning
Secureml: A system for scalable privacy-preserving machine learning
Naïve Bayes for microRNA target predictions—machine learning for microRNA targets
Red eye detection with machine learning
Introduction to statistical learning theory and support vector machines
Incremental majorization-minimization optimization with application to large-scale machine learning
Big data and machine learning in health care
Machine learning, machine vision, and the brain
Ventricular fibrillation and tachycardia classification using a machine learning approach
Kernel-based machine learning protocol for predicting DNA-binding proteins
Applying machine learning toward an automatic classification of it
Machine learning bandgaps of double perovskites
Researcher bias: The use of machine learning in software defect prediction
The interplay of optimization and machine learning research
Similarity-based machine learning methods for predicting drug–target interactions: a brief review
Detecting falls with wearable sensors using machine learning techniques
Malicious web content detection by machine learning
DREAM: diabetic retinopathy analysis using machine learning
Web mining: Machine learning for web applications
Classification of sentiment reviews using n-gram machine learning approach
A survey of open source tools for machine learning with big data in the Hadoop ecosystem
Interacting meaningfully with machine learning systems: Three experiments
An SVM-based machine learning method for accurate internet traffic classification
Automating spoken dialogue management design using machine learning: An industry perspective
Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey
Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects
Machine learning applications for data center optimization
Using “annotator rationales” to improve machine learning for text categorization
Genetic programming-based construction of features for machine learning and knowledge discovery tasks
A machine learning approach to TCP throughput prediction
Machine learning and formal concept analysis
Distance metric learning for large margin nearest neighbor classification
Machine learning topological states
A framework for medical image retrieval using machine learning and statistical similarity matching techniques with relevance feedback
Machine learning and the profession of medicine
TargetSpy: a supervised machine learning approach for microRNA target prediction
Quantum loop topography for machine learning
Structural machine learning with Galois lattice and Graphs.
Protein sequence classification using extreme learning machine
Modeling virtualized applications using machine learning techniques
Model-based machine learning
Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties
Generalization in reinforcement learning: Successful examples using sparse coarse coding
A unified architecture for natural language processing: Deep neural networks with multitask learning
Hyperopt: A python library for optimizing the hyperparameters of machine learning algorithms
Machine learning methods for planning
Deepwalk: Online learning of social representations
Credit risk assessment using statistical and machine learning: basic methodology and risk modeling applications
A deep learning approach to machine transliteration
Machine learning of robot assembly plans
A machine learning approach to ranging error mitigation for UWB localization
Migration and stopover in a small pelagic seabird, the Manx shearwater Puffinus puffinus: insights from machine learning
Applying machine learning to agricultural data
Human-robot communication and machine learning
A stable multi-scale kernel for topological machine learning
Crafting papers on machine learning
Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
Mapreduce: Distributed computing for machine learning
Machine learning in non-stationary environments: Introduction to covariate shift adaptation
Hotspot detection based on machine learning
Machine learning and data mining for computer security: methods and applications
Image analysis and machine learning in digital pathology: Challenges and opportunities
Genetic algorithms and machine learning
Applying machine learning classifiers to dynamic android malware detection at scale
Toward harnessing user feedback for machine learning
Recent advances in predictive (machine) learning
Credit rating by hybrid machine learning techniques
Machine learning algorithms for damage detection under operational and environmental variability
ADVISOR: A machine learning architecture for intelligent tutor construction
Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study
Can machine-learning improve cardiovascular risk prediction using routine clinical data?
Quantum-enhanced machine learning
Automatic feature generation for machine learning based optimizing compilation
Towards the science of security and privacy in machine learning
Majorization-minimization algorithms in signal processing, communications, and machine learning
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr
Pitch accent prediction using ensemble machine learning
Method and apparatus for detecting malicious software through contextual convictions, generic signatures and machine learning techniques
On the role of procrastination in machine learning
Mulan: A java library for multi-label learning
A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces
Machine learning based botnet detection with dynamic adaptation
Archetypal analysis for machine learning and data mining
Drug repositioning: a machine-learning approach through data integration
Machine learning techniques for cooperative spectrum sensing in cognitive radio networks
Scaling, machine learning, and genetic neural nets
Alternating minimization and Boltzmann machine learning
On quality control and machine learning in crowdsourcing
Novel biomarkers for pre-eclampsia detected using metabolomics and machine learning
A hybrid machine learning system for stock market forecasting
Evidence-based static branch prediction using machine learning
Supervised machine learning applied to link prediction in bipartite social networks
On the use of stochastic hessian information in optimization methods for machine learning
Semi-supervised learning for peptide identification from shotgun proteomics datasets
Machine learning: The high interest credit card of technical debt
Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary
A literature survey of active machine learning in the context of natural language processing
Combined optimization of feature selection and algorithm parameters in machine learning of language
A machine learning approach for feature-sensitive motion planning
System and method for machine learning a confidence metric for machine translation
Online learning for latent dirichlet allocation
Machine learning for intelligent support of conflict resolution
Spectral methods in machine learning and new strategies for very large datasets
Regularized extreme learning machine for regression problems
Missing data problems in machine learning
Data mining and machine learning—towards reducing false positives in intrusion detection
Content-based book recommending using learning for text categorization
Dynamic time warping and machine learning for signal quality assessment of pulsatile signals
Inductive Logic Programming: from machine learning to software engineering
Cross-trial prediction of treatment outcome in depression: a machine learning approach
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning.
Machine learning in side-channel analysis: a first study
Why machine learning algorithms fail in misuse detection on KDD intrusion detection data set
Machine learning approach for the prediction of protein secondary structure
A machine learning approach for non-blind image deconvolution
Incremental multi-step Q-learning
Big data meets quantum chemistry approximations: The Δ-machine learning approach
Machine learning in genome‐wide association studies
A novel ensemble machine learning for robust microarray data classification
Machine learning techniques to examine large patient databases
Introduction to machine learning: An early draft of a proposed textbook
Meteor-s web service annotation framework with machine learning classification
Compass: A shape-based machine learning tool for drug design
Machine learning in bioinformatics
A machine learning approach to the automatic evaluation of machine translation
Machine learning for spatial environmental data: theory, applications, and software
A new approach to the study of translationese: Machine-learning the difference between original and translated text
A machine-learning approach to automated knowledge-base building for remote sensing image analysis with GIS data
Survey of review spam detection using machine learning techniques
A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries
Machine learning and image interpretation
Data classification methods using machine learning techniques
Machine learning for hackers
Machine learning on big data: Opportunities and challenges
Natural Language Annotation for Machine Learning: A guide to corpus-building for applications
Predicting stock market index using fusion of machine learning techniques
Knowledge representation and organization in machine learning
Multi-class protein fold classification using a new ensemble machine learning approach
mlpy: Machine learning python
A machine learning framework for network anomaly detection using SVM and GA
Image analysis and machine learning applied to breast cancer diagnosis and prognosis
Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric …
Adaptive machine learning framework to accelerate ab initio molecular dynamics
Some studies in machine learning using the game of checkers
A case for machine learning to optimize multicore performance
Optimization method based extreme learning machine for classification
Enhanced random search based incremental extreme learning machine
Analysing and improving the diagnosis of ischaemic heart disease with machine learning
Cue phrase classification using machine learning
Network anomaly detection: A machine learning perspective
Application of machine learning methods to spatial interpolation of environmental variables
Machine learning for quantum mechanics in a nutshell
Encyclopedia of machine learning and data mining
Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning
Estimating pixel-scale land cover classification confidence using nonparametric machine learning methods
Machine Learning Energies of 2 Million Elpasolite Crystals
Multimodal machine learning: A survey and taxonomy
Machine learning: hands-on for developers and technical professionals
Automatic vandalism detection in Wikipedia: Towards a machine learning approach
Machine learning on big data
Parameter optimization for machine-learning of word sense disambiguation
Balancing exploration and exploitation: A new algorithm for active machine learning
On the use of machine learning to predict the time and resources consumed by applications
Evaluation of machine learning classifiers for mobile malware detection
Machine learning for motor skills in robotics
Apparatus and methods for machine learning hypotheses
Machine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison
New methods for ligand-based virtual screening: use of data fusion and machine learning to enhance the effectiveness of similarity searching
A machine learning approach to pronoun resolution in spoken dialogue
Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks.
A machine-learning apprentice for the completion of repetitive forms
A machine learning approach to anaphoric reference
Practical secure aggregation for privacy-preserving machine learning
Distributed secure quantum machine learning
New machine learning methods demonstrate the existence of a human stylome
A machine learning based scheme for double JPEG compression detection
Interactive machine learning advice facility
A survey of feature selection and feature extraction techniques in machine learning
Machine learning of document templates for data extraction
Machine learning and optimization
Predicting habitat suitability with machine learning models: the potential area of Pinus sylvestris L. in the Iberian Peninsula
Machine learning based anomaly detection
Support vector machine learning-based fMRI data group analysis
Machine learning in materials informatics: recent applications and prospects
Dynamic scheduling system utilizing machine learning as a knowledge acquisition tool
Application of machine learning to medical diagnosis
Machine learning used by Personal WebWatcher
Quantitative forecasting of PTSD from early trauma responses: A machine learning application
A machine learning approach to assessing knowledge sharing during collaborative learning activities
Active learning using pre-clustering
Machine learning for better Web browsing
A machine learning method for generation of a neural network architecture: A continuous ID3 algorithm
Reliable classifications with machine learning
Imputation-boosted collaborative filtering using machine learning classifiers
Convolutional sequence to sequence learning
Revealing the autonomous system taxonomy: The machine learning approach
An introduction to machine learning
Regularized extreme learning machine for regression with missing data
Machine learning for activity recognition: hip versus wrist data
Waffles: A machine learning toolkit
Reproducing kernel Banach spaces for machine learning
Model-based fault diagnosis in electric drives using machine learning
Introduction to machine learning (adaptive computation and machine learning series)
Prediction of organic reaction outcomes using machine learning
An introduction to MCMC for machine learning
Disease prediction by machine learning over big data from healthcare communities
Webwatcher: Machine learning and hypertext
A comparative study of machine-learning methods to predict the effects of single nucleotide polymorphisms on protein function
Entanglement-based machine learning on a quantum computer
SVD-based quality metric for image and video using machine learning
Tool breakage detection using support vector machine learning in a milling process
Classification of substrates and inhibitors of P-glycoprotein using unsupervised machine learning approach
QELAR: A machine-learning-based adaptive routing protocol for energy-efficient and lifetime-extended underwater sensor networks
A machine-learning approach for predicting B-cell epitopes
A machine learning approach to anomaly detection
The Berlin brain-computer interface: Machine learning based detection of user specific brain states.
Flexible and efficient Gaussian process models for machine learning
Crystal structure representations for machine learning models of formation energies
Introduction to special issue on machine learning approaches to shallow parsing
A comparison of two learning algorithms for text categorization
Properties of machine learning applications for use in metamorphic testing
Automatic resolution of ambiguous terms based on machine learning and conceptual relations in the UMLS
Unsupervised learning of video representations using lstms
Automatic extraction of titles from general documents using machine learning
Learning rules that classify e-mail
Automated learning of decision rules for text categorization
Machine learning of morphosyntactic structure: Lemmatizing unknown Slovene words
Machine learning unifies the modeling of materials and molecules
Fundamentals of machine learning for predictive data analytics: algorithms, worked examples, and case studies
Online detection of freezing of gait with smartphones and machine learning techniques
Analysis of temporal-diffference learning with function approximation
Integrated architectures for learning, planning, and reacting based on approximating dynamic programming
Differential evolution extreme learning machine for the classification of hyperspectral images
TeleOphta: Machine learning and image processing methods for teleophthalmology
Classification of musical genre: a machine learning approach.
Stock price forecasting by hybrid machine learning techniques
Machine learning techniques applied to wireless ad-hoc networks: Guide and survey
A novel method to estimate model uncertainty using machine learning techniques
Predicting risk of suicide attempts over time through machine learning
Double/debiased machine learning for treatment and structural parameters
Machine learning for coreference resolution: From local classification to global ranking
Machine teaching: An inverse problem to machine learning and an approach toward optimal education
Regroup: Interactive machine learning for on-demand group creation in social networks
Machine learning in manufacturing: advantages, challenges, and applications
Machine learning based botnet detection using real-time connectivity graph based traffic features
Automating the assignment of diagnosis codes to patient encounters using example-based and machine learning techniques
Data classification methods using machine learning techniques
Machine learning based interatomic potential for amorphous carbon
Metabolite identification and molecular fingerprint prediction through machine learning
Combining support vector machine learning with the discrete cosine transform in image compression
The effect of principal component analysis on machine learning accuracy with high dimensional spectral data
Classification in conservation biology: a comparison of five machine-learning methods
Tensor voting: a perceptual organization approach to computer vision and machine learning
A comparison of machine learning techniques for customer churn prediction
Introduction to astroML: Machine learning for astrophysics
Machine learning methods for attack detection in the smart grid
The support vector machine under test
A machine learning approach for automatic student model discovery.
Sequence to sequence learning with neural networks
Evaluating machine learning for information extraction
Machine learning techniques and drug design
Signal processing and machine learning with differential privacy: Algorithms and challenges for continuous data
Weka-parallel: machine learning in parallel
Machine learning methods for estimating heterogeneous causal effects
Machine learning: a guide to current research
Machine learning of event segmentation for news on demand
An empirical study of three machine learning methods for spam filtering
Sublinear optimization for machine learning
Opem: A static-dynamic approach for machine-learning-based malware detection
Automatic short-term solar flare prediction using machine learning and sunspot associations
Large scale machine learning systems and methods
Error moderation in low-cost machine-learning-based analog/RF testing
A Meta-Instrument for Interactive, On-the-Fly Machine Learning.
Monitoring frog communities: an application of machine learning
Multilabel machine learning and its application to semantic scene classification
Model-agnostic interpretability of machine learning
Prediction of allergenic proteins by means of the concept of Chou's pseudo amino acid composition and a machine learning approach
Prototype vector machine for large scale semi-supervised learning
Comparing machine learning classifiers for diagnosing glaucoma from standard automated perimetry
Classifier ensemble construction with rotation forest to improve medical diagnosis performance of machine learning algorithms
Monitoring of wind farms' power curves using machine learning techniques
Compression and machine learning: A new perspective on feature space vectors
Software testing using machine learning
System and method for automated machine-learning, zero-day malware detection
Predicting football results using Bayesian nets and other machine learning techniques
How to interpret an anonymous bacterial genome: machine learning approach to gene identification
Data classification methods using machine learning techniques
Multivariate analysis of fMRI time series: classification and regression of brain responses using machine learning
MaSh: machine learning for sledgehammer
Speech emotion classification using machine learning algorithms
The definition of insulin resistance using HOMA-IR for Americans of Mexican descent using machine learning
What can machine learning do? Workforce implications
A machine learning framework for programming by example
Machine invention of first-order predicates by inverting resolution
Ten quick tips for machine learning in computational biology
Gene prediction in metagenomic fragments: a large scale machine learning approach
Predictor correlation impacts machine learning algorithms: implications for genomic studies
Machine learning approaches for prediction of linear B‐cell epitopes on proteins
Applying machine learning to semiconductor manufacturing
Machine learning in medicine
Sentiment analysis of twitter data using machine learning approaches and semantic analysis
Machine Reading.
Analogical dissimilarity: definition, algorithms and two experiments in machine learning
Timely and continuous machine-learning-based classification for interactive IP traffic
Machine Learning Methods for Property Prediction in Chemoinformatics: Quo Vadis?
Preimage problem in kernel-based machine learning
Malware detection on mobile devices using distributed machine learning
Identification and resolution of Chinese zero pronouns: A machine learning approach
LERS-a system for learning from examples based on rough sets
Environmental data mining and modeling based on machine learning algorithms and geostatistics
Paraphrase identification on the basis of supervised machine learning techniques
Mastering Machine Learning with scikit-learn
Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal
Webwatcher: A learning apprentice for the world wide web
Machine learning and decision support in critical care
Metabolomics, modelling and machine learning in systems biology–towards an understanding of the languages of cells
Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms
Materials discovery and design using machine learning
Machine learning in games: A survey
A machine learning approach to software requirements prioritization
Machine learning in computer vision
Mapping of hyperspectral AVIRIS data using machine-learning algorithms
Reading digits in natural images with unsupervised feature learning
Malware detection using machine learning
Lifelong machine learning
Machine learning in materials science: Recent progress and emerging applications
Python machine learning
Reward functions for accelerated learning
Research frontier: deep machine learning--a new frontier in artificial intelligence research
Single-machine scheduling with learning considerations
Using machine learning to support debugging with tarantula
Domain adaptation for large-scale sentiment classification: A deep learning approach
An active role for machine learning in drug development
A machine learning approach to inductive query by examples: an experiment using relevance feedback, ID3, genetic algorithms, and simulated annealing
Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis
Weka machine learning for predicting the phospholipidosis inducing potential
Optical metrology of structures formed on semiconductor wafer using machine learning systems
Evolutionary extreme learning machine
From machine learning to deep learning: progress in machine intelligence for rational drug discovery
Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning
Machine learning model repository
Hippocampal shape analysis of Alzheimer disease based on machine learning methods
Intelligent hybrid vehicle power control—Part I: Machine learning of optimal vehicle power
Relational learning of pattern-match rules for information extraction
Fast bayesian optimization of machine learning hyperparameters on large datasets
A paradigm for data-driven predictive modeling using field inversion and machine learning
Socially guided machine learning
Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage
Machine learning from examples: Inductive and lazy methods
Machine learning for big data analytics in plants
Genomic computing. Explanatory analysis of plant expression profiling data using machine learning
Human-level concept learning through probabilistic program induction
Elucidating a magnetic resonance imaging-based neuroanatomic biomarker for psychosis: classification analysis using probabilistic brain atlas and machine learning …
A general-purpose machine learning framework for predicting properties of inorganic materials
Rapid and quantitative detection of the microbial spoilage of beef by Fourier transform infrared spectroscopy and machine learning
Machine learning based adaptive watermark decoding in view of anticipated attack
Detecting stealthy false data injection using machine learning in smart grid
A method for classification of network traffic based on C5. 0 Machine Learning Algorithm
What is machine learning?
Implementing machine learning in health care—addressing ethical challenges

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