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| 약자 | 한국정보과학회 (2020) | BK21플러스 IF (2018) | KAIST CS (2022) | SNU CSE (2023.9) | POSTECH CSE (2023.10) | 평균 (정규화) | 학회명 | DBLP Key | |
|---|---|---|---|---|---|---|---|---|---|
| AAAI | 최우수 | 4 | O | O | 최우수 | 1.00 | AAAI Conference on Artificial Intelligence (AAAI) | conf/aaai | |
| AAMAS | 우수 | 2 | 0.20 | International Joint Conference on Autonomous Agents & Multiagent Systems (AAMAS) | conf/atal | ||||
| ACCV | 우수 | 1 | 우수 | 0.25 | Asian Conference on Computer Vision (ACCV) | conf/accv | |||
| ACL | 최우수 | 4 | O | O | 최우수 | 1.00 | Annual Meeting of the Association for Computational Linguistics (ACL) | conf/acl | |
| ACL Findings | 우수 | 0.10 | Findings of ACL | series/findacl | |||||
| ACSAC | 우수 | 2 | 우수 | 0.30 | Annual Computer Security Applications Conference (ACSAC) | conf/acsac | |||
| AIED | 우수 | 0.10 | International Conference on Artificial Intelligence in Education (AIED) | conf/aied | |||||
| AISTATS | 우수 | 1 | 우수 | 0.25 | International Conference on Artificial Intelligence and Statistics (AISTATS) | conf/aistats | |||
| ANCS | 우수 | 1 | 우수 | 0.25 | Symposium on Architectures for Networking and Communications Systems (ANCS) | conf/ancs |
robodhruv
/ lloyd-max.py
Created
November 24, 2017 16:10
Lloyd Max Quantizer for optimal quantization of a random variable demonstrating a Gaussian PDF
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| """ | |
| Lloyd Max Quantizer | |
| This program implements a midrise lloyd-max quantizer, for optimal | |
| quantization of a random variable demonstrating a Gaussian PDF. | |
| The clustering mechanism used here equivalent to k-Means clustering. | |
| Author: Dhruv Ilesh Shah | |
| EE308 - Communication Systems, Autumn 2017 | |
| Indian Institute of Technology, Bombay | |
| """ |
