MACHINE LEARNING WEB SITE

Reference as: Blake, C., & Merz, C.J. (1998). UCI Repository of machine learning databases [www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.

Unipen
AI Planning Domain Repository (University of Maryland)
University of Nevada at Reno

Home Pages

Global Web Site for ML and CBR Researchers (U. Ottawa)
ML/CBR Home Pages (David W. Aha)
Bayesian Statisticians Home Pages
Data Miners (Andy Pryke)
Programming by Example (Henry Lieberman)
SIGNLL Members

Information

Applications

Applications in Machine Learning (Asa Rudstrom)

Artificial Life

Report on the ALife V Conference
SIM_AGENT Toolkit (U. Birmingham)

Belief Nets

Bayesian Knowledge Discovery Project (The Open University)
Bayes Nets(Kevin Murphy)

Competitions

Abbadingo One: DFA Learning Competition (Lang and Pearlmutter)
New East-West Challenge: Results (Michie, Muggleton, Page, & Srinivasan)
Learning Machine Challenges sponsored by Ai

The (First) Learning Machine Challenge (Announced at IJCAI'01)
Second Learning Machine Challenge

Computational Learning Theory

Computational Learning Theory (Nicolo Cesa-Bianchi)
COLT Bibliography (U. Maryland)

Design

ML in Engineering Design and Manufacturing (Yoram Reich)
1996 AI & Design Conference Workshop on ML in Design (Brown, Goel, and Duffy)

Ensembles and Mixture Models

TR: Additive Logistic Regression: a Statistical View of Boosting (8/98: Friedman, Hastie, & Tibshirani)
Ensembles of Classifiers and Guide to Internet Resources
Mixture Models (David Dowe)
Classification and Regression using Mixtures of Experts (Steve Waterhouse, PhD dissertation)
Classification and Regression by Combining Models (dissertation by Chris Merz)

Bibtex file of Chris's references/a>

Evaluation

Evaluation of Intelligent Systems (An on-line resource)

Fraud Detection

AI and Fraud Detection (Jörn Dinkla)

Fuzzy Logic

Links (Bjarne Hansen)

Games

Bibliography on ML in Strategic Game Playing (Johannes Fuernkranz)
Machine Learning in Games (Jay Scott)
First Tournament of Learning to Play Games

General ML Resources Pages

Miningco.com's AI Site
AI Subject Index on ML (CNRC)
AI/ML Resources (Andy Pryke)
Learning Classifier Systems (Alwyn Barry)
Machine Learning/Data Mining Repository (Center for Advanced Studies, University of Louisiana, Lafayette)
IFIP/SWI Machine Learning Pages
Information Services (Austrian Research Institute for AI)
Intelligent Software Products (SAIC G6G)
Laksberg's Machine Learning Archive (Artur Laksberg)
Machine Learning Resources (Paul Nielsen)
MLnet Machine Learning Archive (GMD)
Other WWW Pages of Interest (Chuck Anderson)
Digital Library at U. Macedonia
Science: CS: AI: ML (Yahoo)

Genetic Algorithms

Human-Computer Learning

Human-Computer Learning Foundation

Inductive Logic Programming

ILPnet2

ILP2 Newsletter

Introduction to ILP (Oxford University)
ILP for KDD Workshop at ICML-96
Top-Down Induction of First Order Logical Decision Trees (PhD dissertation, Hendrik Blockeel)

Information Retrieval

Bibliography on Applying ML to IR Tasks (Peter Turney, previously Rik Belew and Jude Shavlik)

Knowledge Acquisition

Brian Gaine's KAW Page

Knowledge Discovery in Databases (e.g., Data Mining)

Comparisons

Comparison of DM Tools (Ovum)
Elder Research Website (Contains notes on KDD-98 copmarisons)
KDD-Cup-98: 2nd International Data Mining Tools Competition (Parsa and Howes)

Corporate KDD Bookmark (Thierry Van de Merckt)
Cross-Industry Standard Process Model for Data Mining
Data Mining Server (Rudjer Boskovic Institute; An internet service for online data analysis based on ILLM)
Databases & Logic Programming (Michael Ley)
The Data Mine (Andy Pryke)
Debunking Data Mining Myths (Robert D. Small, InformationWeek article)
Knowledge Discovery Mine (Gregory-Piatetsky Shapiro)
Predictive Toxicology Evaluation Challenge (Srinivasan & King)
Terminology, Data Mining (Willie Kloesgen & Jan Zytkow)
Vanderbilt University
VLDB Home Page

Knowledge Engineering

Knowledge Engineering Methods and Languages

Lazy Learning

Prototype Selection for Composite Nearest Neighbor Classifiers (David Skalak, PhD dissertation)
Bontempi G., Birattari M., Bersini H., (1999). Lazy learning for modeling and control design, International Journal of Control, 72, 7/8, 643-658. (Gianluca believes that this is the first article in an automatic control journal with the keyword lazy)
Lazy Learning Special Issue in AI Review (Ed.: D.W. Aha)

Link Analysis

1998 AAAI Fall Symposium on AI & Link Analysis

Local Learning

Georgia Tech (Chris Atkeson)

Manufacturing

The AUTON Project (Andrew Moore and colleagues)

Minimum Description & Message Length

Minimum Description Length (MDL) and Minimum Message Length (MML) (David Dowe)

Multi-Agent Learning

Learning in Multi-Agent Systems Webliography
Adaptation and Learning in Multi-Agent Systems (book; Weiss & Sen, Eds.)

Natural Language

AAAI 1998 Symposium on Applying ML to Discourse Processing
CIRCSIM-Tutor Project (Illinois Institute of Technology)

Neural Networks

Ontologies

Onotology Information (Doug Skuce)

Planning

Learning Procedural Planning Knowledge in Complex Environments (11/96 dissertation by Doublas J. Pearson, U. Michigan)
Planning Resources (Rob St. Amant)
UMCP Hierarchical Task Network Planning Algorithm
Planning Digest

Robots

Xavier (CMU)

Rough Sets

Electronic Bulletin of the Rough Set Community

Skill Acquisition

Skill Acquisition Info Page (University of Karlsruhe)

Support Vector Machines

An Introduction to Support Vector Machines (N. Cristianini & J. Shawe-Taylor)

Temporal Processing

Dissertation: Refinement of Temporal Constraints in an Event Recognition System using Small Datasets (George Paliouras, U. Manchester, 1997)

Text Processing

Dissertation: Machine learning on lage, non-homogeneous text data (Dunja Mladenic, 3/99)

Unsupervised Learning

Computer Journal, Special Issue on Clustering and Classification (1999)
Unsupervised learning, clustering and mixture models (David Dowe)

· WWW

· Web Intelligence Consortium

Job Listings

Job Seekers

Journals & Special Issues

Mailing Lists

AI & KBS for Nondestructive Testing

a href="http://www.listbot.com/subscribe/DESKPACK">Subscription

AI & Statistics Mailing List
Classifier Systems (John Holmes, U. Penn)
datamine-l (Data Mining/Knowledge Discovery/Data Warehousing)
European Mailing List on Learning Robots (Volker Klingspor)
Hybrid Models - Learning and Architectures (Vasant Honavar): To subscribe.
Inductive Logic Programming Network
Knowledge Acquisition (Kaw)
Knowledge Discovery Mine
ML-Net Mailing List (see the ML-Net II home page)
Uncertainty in AI
ML-List
Machine Learning for User Modeling

Mirrors

UK: CCP14 Auto-Mirrored Web Sites

ML Search Engines

Biblio (Austrian AI Institute; Publications)
Cora (Just Research, Inc.)
ML Papers (Andrew Ng)
ML Search (Andrew Ng and Dayne Freitag: WWW Pages)
Neuroscience (Fred Lenherr)

Publication Search Engines

Biblio: Search for a publication (Austrian AI Institute)
Database Bibliographies (Mohan Kamath, U. Massachusetts)
Unified Computer Science TR Search (Marc VanHeyuningen, U. Indiana)

Research Groups

Australia

Austria

Austrian Research Institute for AI (OFAI)

Belgium

Katholieke Universiteit Leuven

Canada

University of Waterloo

Croatia

Rudjer Boskovic Institute

Data Mining Server (An internet service for online data analysis based on ILLM)

France

Université Paris Sud
Université Pierre et Marie Curie (ACASA)

Germany

Aachen University of Technology
University of Dortmund
German National Research Center for Information Technology
Goethe University

Laboratory for Data Mining

University of Kaiserslautern

University of Karlsruhe

Israel

The Hebrew University

Italy

Machine Learning and Neural Networks Group (Joint Group involving the Universities of Florence, Siena, and Pisa)
University of Torino

New Zealand

University of Waikato

Portugal

University of Porto

Slovenia

Jozef Stefan Institute

Spain

Spanish Scientific Research Council

Switzerland

Dalle Molle Institute for Perceptual AI (IDIAP)

Turkey

Bilkent University

United Kingdom

Robert Gordon University
Oxford, University
Turing Institute
University of Bristol
University College London (Gatsby Computational Neuroscience Unit)
University of the West of England

United States

Brigham Young University
Carnegie Mellon University

AUTON: Autonomous Machine Learning Lab (Andrew Moore and colleagues)
Learning Laboratory
Learning Robots Laboratory
Reinforcement Learning

Colorado State University
General Electric Research and Development Center (Information Technology Laboratory)
George Mason University
Georgia Institute of Technology
IBM Almaden Research Center (Data Mining Project)

Data Mining Home Page

Institute for the Learning Sciences
Iowa State University
JPL AI Group
Kansas State University (Laboratory for KDD)
Massachusetts Institute of Technology

The SOAR Songbook

United States Air Force Academy
University of California at Irvine
University of California at Santa Cruz
University of Illinoise at Urbana-Champaign

University of Massachusetts

University of New Mexico (Adaptive Computation Group)
University of Southern Florida
University of Texas at Austin
University of Wisconsin at Madison
Vanderbilt University

Software (see also Information)

Belief Networks and Other Probabilistic Systems

BAYDA (Henry Tirri, U. Helsinki Complex Systems Computation Group)
Bayesian Knowledge Discoverer (Marco Ramoni)
Belief Networks (Russell Almond)
Belief Network Power Constructor (Jie Cheng)

USA Mirror Site

BETSY: Bayesian Essay Test Scoring sYstem (Larry Rudner, University of Maryland)
Hugin (BBN)
Microsoft Bayesian Networks Modeling Tool (MSBN; network construction & evaluation)
Netica (Norsys)
RoC (Robust Bayesian Classifier) (Marco Ramoni, 3/99)

Evaluation of Multiple Systems

ROC Convex Hull for Comparing Classifiers (Tom Fawcett, Foster Provost)

Clustering: See Unsupervised Learning
Collections (Varied) of Programs

Data Mining Siftware
MLT Toolbox (GMD)
UCI ML programs (FOCL, Occam, etc)
Siftware at the Knowledge Discovery Mine (Gregory Piatetsky-Shapiro)
ML Research Software (University of Texas at Austin)
Peter Clark - ML Software
Prolog Library of ML Programs (Thomas Hoppe, GMD)
TOOLDIAG (U. Lisbon & UNINOVA)

Data Generators

Database Generator (Gabo Melli)

Data Mining

SGI's MineSet
Siftware at the Knowledge Discovery Mine
Agent-Based Data Mining (Sal Stolfo)
DBPredictor on-line Classification System (Gabor Melli, Simon Fraser University)
SUBDUE (U. Texas @ Arlington)

Decision Trees (TDIDT) and Rule Inducers

AQnn (Michalski and colleagues): What does "AQ" denote? Answer: "AQ or Aq (q as a superscript) stands for Algorithm Quasi-optimal (as originally developed in 1969, the algorithm creates approximately or strictly optimal soluations of the general covering problem (which subsumes learning rules from examples)." - R. Michalski
C4.5 and its extensions

C4.5's FTP Directory (J. Ross Quinlan)
Parallel C4.5 (Bin Li)
C5.0 info and demonstration versions
C4.5 Patch File (for outputting classification rules as Prolog statements) (Kamran Karimi, University of Regina)
RFCT: An unsupervised, temporal extension of C4.5 (Kamran Karimi, University of Regina)

CN2 (Peter Clark)
CN2 Integrated with Qualitative Modelling (Peter Clark)
Incremental Decision Trees(Paul Utgoff)
ILA-2 (Eastern Mediterranean University)
OC1 (Johns Hopkins University)
SIPINA (D.A. Zighed)

Explanation-Based Learning

Lazy Partial Evaluation (Peter Clark)

First-Order Representations (e.g., Inductive Logic Programming)

ACCEL (University of Texas at Austin; first-order abductive construction of explanations)
Claudien (Luc Dehaspe, Luc De Raedt, & Wim Van Laer)
CRUSTACEAN (David W. Aha)
FDEP (induces functional dependencies from relations) (Iztok Savnik)
FOIL (J. Ross Quinlan)
GMD's ILP Software Repository
FORTE (University of Texas at Austin; first-order theory revision)

Genetic Algorithms

Genetic Algorithms source code (NRL's GA Archive)
REGAL 3.0 (University of Torino)
Automatic Design of Algorithms Through Evolution (ADATE)
Swarm (Santa Fe Institute)

Lazy Learning

IBL (David W. Aha)
NGE (David W. Aha)
PEBLS (Johns Hopkins University)
Protos (Bruce Porter)
TiMBL (ILK, Tilburg: a suite of tools)

TiMBL Reference Guide

Knowledge Acquisition

Mobal (GMD)

Neural Networks

Bayesian Learning for Neural Networks (Radford Neal)
Fahlmann's Neural Networks
A free Neural Network repository (Lutz Prechelt)

Integrated Planning and Learning

Prodigy (Carnegie Mellon University)

Reinforcement Learning

Reinforcement Learning: A Tutorial (Mance E. Harmon; broken link)
Reinforcement Learning with Selective Perception and Hidden State (dissertation, Andrew McCallum)
A Reinforcement Learning Approach for Job-Shop Scheduling (Tom Dietterich and Wei Zhang)

Rule Learning

RIPPER (William Cohen)
CBA: Classification and Association Rules (Bing Liu)

Statistical Software

MODSTAT
Statistical software (Warren Kovach)
StatLib: Applied statistics algorithms (Carnegie Mellon University)
Multiple Regression with Automatic Curve Fitting (James Widdoes)
R (A clone of Splus; Gerhard Paass)

Theory Revision (propositional)

NEITHER (University of Texas at Austin; propositional theory revision)

Unsupervised Learning

Autoclass (NASA Ames)

Autoclass V3.1 C Program

CLUTO (Software Package for Clustering High-Dimensional Datasets; 12/01)
CViz (IBM's cluster visualization software, currently free as of 8/98)
ECOBWEB (Yoram Reich)
Fast Fuzzy Cluster (Michael Bickel)
MCLUST/EMCLUST (Chris Fraley)
Snob (Chris Wallace and David Dowe)

Workbenches

Kepler (GMD)
MLC++ Toolbench

WEKA Toolbench (University of Waikato)

Special Interest Groups

SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
American Association for Artificial Intelligence (AAAI)
Artificial Intelligence Research in Environmental Sciences (AIRIES)
British Computer Society Specialist Group on Expert Systems
Canadian Society for Computational Studies of Intelligence (CSCSI)
International Grammatical Inference Community
European Network of Excellence in ML (MLnet)
IJCAI Inc.
Neural Information Processing Systems (NIPS)
Institute for Operations Research and the Management Sciences (INFORMS)
Knowledge Discovery Mine
Meteorology-AI (Eric Jones)
Robots

AAAI 1996 Mobile Robot Competition and Exhibition

ACL Special Interest Group on Natural Language Learning (SIGNLL)
SOAR Project (University of Southern California)
Society for AI and Statistics
Classification Society of North America

Tutorials (and short notes)

Credits

Thanks for your feedback, and to NCARAI, NRL's AI Center, for providing computing support for this WWW page, maintained by David W. Aha. See also the CBR Resources Page.