[General]
[ML Papers]
[Neural]
[KDD]
[COLT]
[Clustering]
[Reinforcement]
[Genetic]
[ILP]
[Companies]
[Misc]
Machine Learning Hot list
Online Machine Learning Resources The content of the present webpage comes partly from there.
David Aha's list of machine learning resources.
Home pages of (hundreds of) ML researchers (maintained by David W. Aha).
GMD Machine Learning Archive.
Machine Learning Resources (Paul Nielsen).
University of California-Irvine (UCI) Machine Learning Page.
University of Illinois / Urbana (UIUC) AI / ML Page .
ML Mailing List Archive (moderated by M.Pazzani).
MLNet - Network of Excellence in Machine Learning (GMD server).
ILPnet, the Inductive Logic Programming Pan-European Scientific Network.
ILPnet2, Network of Excellence on Inductive Logic Programming (continuation of
ILPnet).
Information and links concerning "recursive partitioning" type learning algorithms.
Programme "Learning in Humans and Machines" (European Science Foundation).
ACL Special Interest Group on Natural Language Learning.
International Grammatical Inference Community Homepage
(Mirror).
`Programming by Example' Homepage (MIT Media Lab).
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ML Papers in PostScript format (UC Berkeley).
Meta-List of Machine Learning Bibliographies (D.Aha/P.Turney).
IBM Data Mining Quest Publication.
Bell-Lab Publications on Data Mining and Storage Manager.
Bell-Lab Publications on Statistics and Data Mining.
Bibliography on automated text categorisation (F.Sebastiani, Univ. of Pisa).
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The Backpropagator's Online Reading List and Review.
Pattern Recognition Page (Delft Univ. of Technology, The Netherlands).
Kovach Computing Services - Statistics Shareware and useful links.
GRKPACK software: Fitting Smoothing Spline ANOVA Models for
Exponential Families.
Software for Bayesian learning for neural networks (R. Neal).
NN Benchmarking Page.
R - A Public Domain Statistics + Graphics Package.
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UC Irvine Knowledge Discovery in Databases (KDD) Archive.
Knowledge Discovery Mine, KDD Nuggets, etc. (G. Piatetsky-Shapiro).
Knowledge Discovery Mine, KDD Nuggets, etc. (NEW - from March 1, 1997).
The Data Mine (Birmingham).
KDD Projects Home Pages.
KDD Page, Vanderbilt University.
Search engine for quickly searching database research bibliographies.
IJCAI-95 KDD tutorial (U. Fayyad).
Collection of Machine Discovery Terminology.
Data Mining and Knowledge Discovery - an International Journal.
Intelligent Data Analysis (IDA) - An International Journal.
"Information Shootout Project" - description and data sets.
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COLT Home Page.
COLTBIB (extensive bibliography of COLT literature).
Archive of COLT Conferences.
Archive of ALT Conferences.
Archive of EuroCOLT Conferences.
Archive of AII Workshops.
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Mixture Modelling page (D. Dowe).
ECOBWEB: a public domain clustering tool (Y. Reich).
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Reinforcement Learning Archive at GMD.
Reinforcement Learning Repository, Michigan State University.
CMU's Reinforcement Learning Page.
Rich Sutton's Reinforcement Learning Archive.
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EVONET (European Network of Excellence in Evolutionary Computing).
The Genetic Algorithms Archive.
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ILPnet, the Inductive Logic Programming Pan-European Scientific Network.
ILPnet2, Network of Excellence on Inductive Logic Programming (continuation of
ILPnet).
ESPRIT Project BRA 6020 (ILP) home page - Kath. Univ. Leuven.
ILP programs (GOLEM,...), datasets, etc. (from Esprit ILP project and ILPNet).
FOIL Sources - latest release (Ross Quinlan).
Computing Lab, Univ. of Oxford, ILP sources.
FOCL Macintosh application and
user manual.
FOCL Common LISP source code.
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Integral Solutions Ltd. (UK; Data Mining).
Intelligent Applications, Ltd. (UK; Data Mining).
KDD Page, IBM Almaden Research Center.
Silicon Graphics, MLC++ Team.
Thinkbank, Inc.
Ultragem Data Mining.
Knowledge Discovery One, Inc. (KD1).
RuleQuest Research (J.R.Quinlan).
PARTEK - Data Analysis and Modelling.
MIT (Management Intelligenter Technologien) GmbH, Aachen, Germany.
Megaputer Intelligence, Moscow, Russia.
MineSoft Ltd.
SPSS Inc.
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Minimum Description
Length and Minimum Message Length Homepage
(David L. Dowe).
Grammatical Inference Homepage.
List of WWW pages for graduate and undergraduate courses on ML and related topics.
CMU Course on ML - Lecture Slides and Syllabus.
Slides of several ML Tutorials (David W. Aha).
Slides of several ML and probability tutorials (Wray Buntine).
"Probability Theory: The Logic of Science" (book draft by E. T. Jaynes).
The "Computing as Compression" Theory (G. Wolff).
Machine Learning in Games (home page, bibliography).
Abbadingo One: DFA Learning Competition.
Results of "New East-West Challenge" (Inductive Learning Competition).
The Predictive Toxicology Evaluation Challenge (Inductive Learning Competition).
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