- ACM SIGKDD
ACM's Special Interest Group of Knowledge Discovery and Data Mining serves as a forum for advancement and adoption of the science of knowledge discovery and data mining.
www.kdd.org
- Automatic Design of Algorithms Through Evolution (ADATE)
Unique technique for automatic programming i.e., inductive inference of algorithms.
www-ia.hiof.no/~rolando/adate_intro.html
- Center for Automated Learning and Discovery (CALD) - Carnegie Mellon
Academic department within Carnegie Mellon University's School of Computer Science that focuses on research and education in all areas of statistical machine learning.
www.cald.cs.cmu.edu
- Inference and Learning Group - Laboratoire de Recherche en Informatique
Conducting research in induction, logical programming, and recursion.
www.lri.fr/ia/introduction.en.html
- Journal of Machine Learning Research (JMLR)
Provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning.
jmlr.csail.mit.edu
- Knowledge Sharing Effort
Developing methodology and software for the sharing and reuse of knowledge.
www.cs.umbc.edu/kse
- Machine Learning
Textbook providing an introduction to the field of machine learning, the study of computer algorithms that improve automatically through experience.
www-2.cs.cmu.edu/~tom/mlbook.html
- Machine Learning and Friends at CMU
Lunchtime chats dedicated to various aspects of machine learning: discussed: reinforcement learning, statistical AI, statistical learning theory, robot learning, text learning, etc.
www.cs.cmu.edu/~reinf/web
- Machine Learning and Inference Laboratory - George Mason University
Conducts fundamental and experimental research on the development of intelligent systems capable of advanced forms of learning, inference, and knowledge generation, and applies them to real-world problems.
www.mli.gmu.edu
- Machine Learning Dictionary, The
Offers a brief introduction to machine learning concepts.
www.cse.unsw.edu.au/~billw/mldict.html
- Machine Learning in Games
Designed for artificial intelligence researchers and intrepid game programmers, it examines how computers can learn to get better at playing games.
www.satirist.org/learn-game
- Machine Learning, Neural and Statistical Classification
Introduces the complex issue of classification as approached through machine learning, statistics, and neural networks, and encourages a cross-fertilization between these disciplines.
www.amsta.leeds.ac.uk/~charles/statlog
- MLC++
A library of C++ classes for supervised machine learning.
www.sgi.com/tech/mlc
- MLnet Online Information Service (MLnet OiS)
Dedicated to the field of machine learning, knowledge discovery, case-based reasoning, knowledge acquisition, and data mining.
www.mlnet.org
- New and Emergent World Models Through Individual, Evolutionary, and Social Learning (NEW-TIES)
Research project using independent computer agents to simulate a large-scale, complex society.
www.new-ties.org/mambo
- Reinforcement Learning: A Tutorial
(PDF)
Designed to provide an introduction to reinforcement learning at a level easily understood by students and researchers in a wide range of disciplines.
www.nada.kth.se/kurser/kth/2D1432/2004/rltutorial.pdf
- UCI Machine Learning Repository
Collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.
www.ics.uci.edu/~mlearn/MLRepository.html
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