Machine Learning/Learning Theory Hotlist

People

• Barry C. Arnold [Pareto distributions, Bayesian inference]
• Javed Aslam
• Peter Auer
• Peter Bartlett
• Andrew Barto [co-author of Reinforcement Learning: An Introduction]
• Rakesh D. Barve
• Eric Baum
• Shai Ben-David
• Yoshua Bengio
• Kristin P. Bennett [SVMs, bioinformatics]
• Avrim Blum
• Christopher M. Bishop
• Craig Boutilier
• Erin Bredensteiner [SVMs] [her old page at RPI]
• Leo Breiman [bagging]
• Carla E. Brodley [co-chair for ICML '01]
• Nader H. Bshouty
• Trent Buskirk
• Rich Caruana
• Nello Cristianini
• William Cohen
• Andrea Danyluk [co-chair for ICML '01]
• Scott Evan Decatur
• Luc De Raedt
• Thomas G. Dietterich
• Bruce A. Draper [computer vision]
• Richard O. Duda
• Alain Dutech [RL in MAS]
• David W. Embley
• Doug Fisher
• Yoav Freund
• Jerome H. Friedman
• João Gama
• Thomas Gärtner
• Clark Glymour [Learning Bayesian networks, TETRAD Project]
• Paul Goldberg
• Sally Goldman
• Russell Greiner
• Carlos Guestrin [multi-agent RL]
• David Haussler
• David Heckerman [Learning Bayesian networks]
• Lisa Hellerstein
• David P. Helmbold
• Mark Herbster
• Half Herbrich
• Rob Holte
• Vasant Honavar
• Ibrahim F. Imam
• Finn Verner Jensen [Learning Bayesian networks, author of Introduction to Bayesian Networks]
• Jeff Jackson
• Sanjay Jain
• Michael I. Jordan
• Leslie Pack Kaelbling
• Mike Kearns
• Roni Khardon
• Jyrki Kivinen
• Imre Risi Kondor
• Takamasa Koshizen
• Stephen S. Kwek
• Steffen Lange [average-case analyses of learning algorithms]
• Pat Langley
• NEC People Pages [Nick Littlestone]
• Michael L. Littman
• Philip M. Long
• Tomas Lozano-Perez
• Wolfgang Maass
• Richard Maclin
• William G. Macready
• Yishay Mansour [Tel Aviv Univ.] [AT&T Research]
• Dragos Margineantu
• Oded Maron
• Maja J Mataric'
• Tom Mitchell [author of Machine Learning]
• Raymond Mooney
• Andrew W. Moore
• Stephen H. Muggleton [ILP in bioinformatics]
• George Nagy
• Peter Norvig [co-author of Artificial Intelligence: A Modern Approach]
• C. David Page [inductive logic programming/drug discovery]
• Michael J. Pazzani [maintains the Machine Learning Listserv]
• J. Ross Quinlan
  • C4.5: Programs for Machine Learning
  • Complete source for C4.5 (old version)
  • Manuals/tutorials for C4.5
• Vijay Raghavan
• Jan Ramon
• Edwina L. Rissland [Program Director for Artificial Intelligence and Cognitive Science Program at NSF]
• Ronald L. Rivest
• Azriel Rosenfeld [Maintains Image Analysis and Computer Vision bibliography]
• Dan Roth
• Giancarlo Ruffo
• Stuart Russell [co-author of Artificial Intelligence: A Modern Approach]
• Marco Russo
• Dale Schuurmans
• Robert Schapire
• Bernhard Schölkopf
• Richard Scheines [Learning Bayesian networks, TETRAD Project]
• Stephen Scott
• Rocco Servedio
• Jude Shavlik
• John Shawe-Taylor [here is his personal page]
• Yoram Singer
• Bob Sloan
• Alexander J. Smola
• Malcolm Strens
• Peter Sprites [Learning Bayesian networks, TETRAD Project]
• Richard Sutton [co-author of Reinforcement Learning: An Introduction]
• Eiji Takimoto
• Christino Tamon
• Cynthia A. Thompson
• Sebastian Thrun
• Naftali (Tali) Tishby
• Gyorgy Turan
• Leslie G. Valiant
• Vladimir Vapnik
• Nuno Vasconcelos [MIT, Compaq]
• Umesh Vazirani
• Manuela Veloso [reinf. learning, robotics]
• Santosh Vempala [algorithms, random walks, learning theory]
• Vladimir Vovk
• Kiri Wagstaff
• Manfred K. Warmuth
• Osamu Watanabe
• Ke Yang
• Thomas Zeugmann
• Jean-Daniel Zucker
• Home Pages of ML People
• Computational Learning Theorists
• MLnet
• learningtheory.org
• NeuroCOLT
• KernelMachines.org
• boosting.org

Conferences

• COLT/ICML
  • ICML '05
  • COLT '05
  • ICML '04
  • COLT '04
  • COLT '03
  • ICML '03
  • ICML '02
  • COLT '02
  • ICML '01
  • COLT '01
  • COLT '00 [including papers]
  • ICML '00
  • COLT '99
  • ICML '99
  • COLT '98
  • ICML '98
    • In 1998 COLT and ICML are co-located with UAI '98, AAAI '98, and other AI-related conferences
    • Predicting the Future: AI Approaches to Time-series Analysis [AAAI '98 workshop]
  • ICML/COLT '97 Home Page
    • ICML '97 Workshops [incl. proceedings]
  • eCOLT
  • COLT '96 Home Page
  • COLT '96 program information page
  • ICML '96
  • ICML-96 Workshop on LEARNING IN CONTEXT-SENSITIVE DOMAINS
  • COLT '95
  • Proceedings:
    • Proceedings of COLT '92-'97
    • Proceedings of COLT '88-'91
    • Tables of Contents of Proceedings of COLT '92-'96
    • Proceedings of ICML '88-'98
• DIMACS Workshop: On-Line Decision Making (1999)
• EuroColt 1999
• IJCAI
• KDD
  • KDD 2000
• STOC
  • STOC 04
  • STOC 02
  • STOC 01
  • STOC 00
  • STOC 99
  • STOC 98
• FOCS
  • FOCS '01
  • FOCS '00
  • FOCS '99
  • FOCS '97
  • FOCS '96
  • FOCS '95
  • FOCS Bibliography
• ALT
  • ALT '00
  • ALT '99 CFP
• NIPS 2004
• UAI
  • UAI '00
  • UAI '98
  • UAI '97 [incl. proceedings]
  • UAI '96 [incl. proceedings]
  • UAI '95 [incl. proceedings]
  • UAI '94
  • UAI '93
  • UAI '92
  • UAI '91
• Misc.
  • ICMLA 2004
  • FLAIRS 2004
  • SSGRR-2002S (Summer) conference on "Infrastructure for e-Business, e-Education, e-Science, and e-Medicine"
  • ANNIE 2002
  • Theory Conference Calendar
  • IEEE Computer Society Conference Calendar
  • Sixth Multi-Conference on Systemics, Cybernetics and Informatics (SCI 2002)
  • International Conference on Intelligent Agents, Web Technology and Internet Commerce - IAWTIC'2001
  • Machine Learning and Computational Biology Meetings
  • SCI '00
  • AI Meets the Real World '98: Lessons Learned
  • International Conference on Computational Intelligence for Modelling, Control and Automation: CIMCA'99
  • Fifth European Workshop on Learning Robots
    • Proceedings
  • Session on Dedicated Hardware and/or Hybrid Learning at First International Conference on Conventional and Knowledge-Based Intelligent Electronic Systems, KES '97 [session organized by Marco Russo]

Journals

• Journal of Machine Learning Research
• Journal of the ACM
• CITE: Computational Intelligence Information and Services
• SIAM Journals
• Journal of Applied Systems Studies: Methodologies and Applications for Systems Approaches
• Information and Computation
• Machine Learning Online
• IEEE Transactions on Neural Networks
• Journal of Artificial Intelligence Research
• Artificial Intelligence
• Journal of Computer and System Sciences
• Annals of Mathematics and Artificial Intelligence
• Special Issue on Learning Autonomous Robots (IEEE Trans. on Sys., Man and Cyber.)
• Special AI Review Issue on Lazy Learning
• Data Mining and Knowledge Discovery
  • Free access to Issue 1 of Data Mining and Knowledge Discovery

Books

• Machine Learning by Tom Mitchell
• Readings in Machine Learning, edited by Jude Shavlik and Thomas G. Dietterich
• Pattern Recognition by Sergios Theodoridis and Konstantinos Koutroumbas
• An Introduction to Support Vector Machines

Data Repositories

• UCI ML data repository
• Regression data sets
• Other regression data sets

Text and Web Classification

• CMU World Wide Knowledge Base (Web->KB) project
• BYU's Data Extraction Research Group

Learning and Networking

• My work on Dynamically Adjusting TCP Acknowledgment Delays
• Michael L. Littman's Home Page
• Tony R. Martinez
• Vasant Honavar's Home in Cyberspace
• Reinforcement-routing information page

Multiagent Learning

Professional Societies/Organizations

• Learningtheory.org
• The Association for Computing Machinery (ACM)
  • ACM SIGACT
  • ACM SIGART
  • Other ACM Special Interest Groups
• The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
  • IEEE Computer Society
  • Other IEEE Societies
  • Washington University's IEEE Chapter
• American Association for Artificial Intelligence (AAAI)
• List of AI Organizations

NSF

• Announcement of NSF grant opportunity in Learning and Intelligent Systems (LIS)
• Information Robotics & Intelligent Systems division of CISE of NSF
• Theory of Computing program of Computer and Computation Research division of CISE of NSF

AI/Learning in Games

• Chris Crawford [modelling emotions]
• Age Of Empires
• Pursuit and evasion
• Rodney Brooks [also see this]
• Trendmasters
• SOAR [also see this and this]
• Game Developers Conference
• List of Games that Utilize AI [from the Game AI Page]
• Gamasutra
• Machine Learning in Games
• The Art of Computer Game Design by Chris Crawford
• www.gamerz.net
• Wargames
• Game Developer Magazine
• Navigation
• Navigation and Flocking
• AI Wars
• IRC Bot Source Code section
• FAQ for comp.ai.games
• RoboCup

Misc.

• C4.5
  • C4.5: Programs for Machine Learning
  • Complete source for C4.5 (old version)
  • Manuals/tutorials for C4.5
• Berkeley Digital Library Project [and the Sun SITE]
• Machine Learning Summer School at Australian National University: 2003, 2002
• Machine Learning Research Group, UT Austin
• Net-ID, Inc. [HMM and NN software for bioinformatics applications]
• The Support Vector Machine discussion list
• Support Vector Machine work at Bell Labs
• A New York Times article on boosting
• Bibliography of MCMC Papers
• SGI's MineSet Decision Tree Visualizer
• Unica Technologies, Inc.
• Zoex Corporation
• NASA Graduate Student Researchers Program
• ROC Convex Hull program for comparing classifiers
• BAYDA 1.0: software for Bayesian classification and feature selection for discrete data
• The Support Vector Machine for regression and pattern recognition
• Computists International
• Reinforcement Learning Repository at Michigan State University
• AI on the Web [a very extensive list]
• UCSC Machine Learning Home Page
• Neural Net FAQ
• CS 582T
• C5.0 info
• Machine Learning and Inference Lab
• NeuroCOLT [includes TR archive]
• NEURAL COMPUTING SURVEYS
• UCI ML data repository
• Hypertext Bibliographies for Machine Learning
• Machine Learning Applied to Information Retrieval
• The PTE Challenge [Predictive-Toxicology Evaluation]
• UTA's Machine Learning Research Group
• AG AL Title Page
• Rockies Robotics Group
• phase transitions in constraint satisfaction search
• WEKA
• Bayesian Knowledge Discoverer (BKD) version 0.1
• My Theoretical CS Hotlist
• Images of Different COLTs

Last modified 28 March 2006.