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June 17, 2011 15:04
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Bayesian Network Resources
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- Whisky notes: http://www.whisky-pages.com/ | |
*** http://weka.wikispaces.com/Use+Weka+in+your+Java+code | |
- http://cran.r-project.org/web/views/Bayesian.html - a metric shit tonne of packages for R | |
- http://www.celiagreen.com/charlesmccreery/statistics/bayestutorial.pdf - Greate illustrated guide to bayesian trees | |
- http://www.cs.waikato.ac.nz/~remco/weka_bn/bayesnet.html | |
- http://en.wikipedia.org/wiki/Chain_rule_(probability) - Chain Rule of probablity | |
- http://aima.cs.berkeley.edu/ - AI a Modern Approach (full HTML online) | |
- http://www.labmedinfo.org/sites/default/files/file/publications/lmi339.pdf - Hierarchical Bayes Clasifiers for Uncertain Data | |
- http://people.csail.mit.edu/jrennie/papers/icml03-nb.pdf - Naieve Bayes Text Classifiers | |
- https://www.cra.com/pdf/bnetbuilderbackground.pdf - | |
- http://www.score-on-line.com/tmp/85.225.255.189.BWV772.PDF - Invention #1 | |
- UCI machine learning resources and datasets | |
http://archive.ics.uci.edu/ml/ | |
- http://weka.wikispaces.com/Primer - weka command line primer | |
Gervill was designed to be generic synthesizer for Java. By adding gervill.jar to your classpath you should be able to load SoundFonts/DLS files using MidiSystem.getSoundBank(). And MidiSystem.getSynthesizer() should return instance of Gervill Synthesizer. | |
http://java.net/projects/gervill/pages/Home | |
Wave sound information | |
http://www.creative.com/soundblaster/soundfont/ | |
Information | |
http://www.midi.org/ | |
Links to the midi standard | |
http://www.midi.org/techspecs/index.php | |
General Statistics | |
http://en.wikipedia.org/wiki/Portal:Statistics | |
Cautioning against Causality: | |
http://www.jerrydallal.com/LHSP/cause.htm | |
Statistical Robustness | |
http://fisher.stat.wmich.edu/joe/Stat666/book/book.pdf | |
Statistical models for Causation | |
"Causal inferences can be drawn from non-experimental data. However, no mechanical rules can | |
be laid down for the activity. Since Hume, that is almost a truism. Instead, causal inference seems | |
to require an enormous investment of skill, intelligence, and hard work" (D.A. Friedman, "Statistical Models for Causation", p 19) | |
ftp://stat-www.berkeley.edu/pub/tech-reports/651.pdf | |
Uncertainty | |
There are some things that you know to be true, and others that you know to be false; yet, despite this extensive knowledge that you have, there remain many things whose truth or falsity is not known to you. We say that you are uncertain about them. You are uncertain, to varying degrees, about everything in the future; much of the past is hidden from you; and there is a lot of the present about which you do not have full information. Uncertainty is everywhere and you cannot escape from it. | |
“ | |
” | |
Dennis Lindley, Understanding Uncertainty (2006) | |
Bayesian Stats and Reasoning | |
One of the best introductions to Bayesian Reasoning | |
http://yudkowsky.net/rational/bayes | |
Introduction to Bayesian Filtering | |
http://www.process.com/precisemail/bayesian_filtering.htm | |
Collection of Tutorials on Bayesian Networks and filtering | |
http://www.eecs.qmul.ac.uk/~norman/resources.html | |
Online Tutorial on Bayesian Belief Networks | |
http://www.eecs.qmul.ac.uk/~norman/BBNs/BBNs.htm | |
Comprehensive list of Bayes Network Packages | |
http://www.cs.ubc.ca/~murphyk/Bayes/bnsoft.html | |
Google's Directory of Bayes Networks Packages | |
http://directory.google.com/Top/Computers/Artificial_Intelligence/Belief_Networks/Software/ | |
KDNet's list of software packages | |
http://www.kdnuggets.com/software/bayesian.html | |
Matt Heckman's Microsoft Research Page | |
http://research.microsoft.com/en-us/um/people/heckerman/ | |
One of the the best survey's of the math of Bayesian networks | |
http://research.microsoft.com/en-us/um/people/heckerman/tutorial.pdf | |
Embedded Bayesian Network Classifiers | |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.47.9933 | |
Music, stats, and Bach | |
Statistics and Bach | |
http://www.google.com/search?sourceid=chrome&ie=UTF-8&q=John+Barnes+statistical+analysis+bach | |
Software Resources on Bayesian Reasoning | |
Weka Toolkit for ML | |
http://www.cs.waikato.ac.nz/ml/index.html | |
Older library on Bayesian Tools | |
http://bn4r.rubyforge.org/ | |
http://www.igvita.com/2007/05/23/bayes-classification-in-ruby/ |
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