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SNoW - SNoW is a learning architecture specifically taylored for learning in very high-dimensional feature spaces. The current release uses sparse variations of Winnow, Perceptron, and Naive Bayes. [free for personal academic and research purposes]
 
SUBDUE: Knowledge Discovery in Structural Databases - The program discovers interesting and repetitive subgraphs in a labeled graph representation using the minimum description length principle. Applications to molecular biology. [Free]
 
SVM-Light: Support Vector Machine Software - Training Software for Large-Scale SVMs. [Free for non-commercial use]
 
Software Packages for Graphical Models / Bayesian Networks - A list of software packages for Graphical Models / Bayesian Networks. Some have learning capabilities.
 
Statistical Decision Trees - A program for inducing Bayesian decision trees. Applications to speech. [Free]
 
The BUGS Project - Bayesian inference Using Gibbs Sampling - BUGS is a piece of computer software for the Bayesian analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. Software for several platforms is available for downloading, and all the manuals are also available online or in downloadable formats.
 
The CHILL empirical parser acquisition system - CHILL is a general approach to the problem of inducing natural language parsers. It uses an annotated corpus, and produces a parser by using ILP for inducing the rules that control the actions of a shift-reduce parser. [Free]
 
The MEME/MAST system - MEME (Multiple EM for Motif Elicitation) is a program for discovering motifs (highly conserved regions) in groups of related DNA or protein sequences. MAST (Motif Alignment and Search Tool) is a tool for searching biological sequence databases for sequences that contain one or more of a group of known motifs.
 
The NEITHER Theory Revision System - A propositional theory refinement system that will modify a incomplete or incorrect rule base so as to make it consistent with a set of input training examples. [Free]
 
The R Project for Statistical Computing - R, also known as `GNU S', is a free system for statistical computation and graphics similar to S. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc.).
 
The RIPPER rule learner - A system for learning rules from data. [Free for research purposes]
 
The `Bow' Toolkit for statistical language modeling, text retrieval, classification, and clustering - Bow (or libbow) is a library of C code useful for writing statistical text analysis, language modeling and information retrieval programs. The current distribution includes the library, as well as front-ends for document classification (rainbow), document retrieval (arrow) and document clustering (crossbow). [Free]
 
TiMBL: Tilburg Memory Based Learner - TiMBL is a program implementing several Memory-Based Learning techniques (these learners store representation of the training set explicitly, and classifies new cases by extrapolation from the most similar stored cases). [Free for educational or non-commercial research purposes]
 
WHIRL Distribution Page - A Word-based Information Representation Language by W. Cohen [Free for non-commercial purposes]
 
Weka 3 - Open Source Machine Learning Software in Java - Suite that implements decision trees and tables, rule learners, Naive Bayes, support vector machines, voted perceptrons, multi-layer perceptron. Meta schemes include bagging, stacking, boosting etc. [Free under GPL]
 
WinMine Toolkit - Tools for learning dependency networks or Bayesian networks from data. [Free]
 
 

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