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Artificial Intelligence: Machine Learning: Software




Software

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An AI Learning System

http://tcw2.ppsw.rug.nl/~jorrit/ai/ai.html

A description of an AI system, with a demonstration program and Delphi sourcecode.

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The Bow Toolkit

http://www.cs.cmu.edu/~mccallum/bow/

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]

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AutoClass

http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/

Takes a database of cases described by a combination of real and discrete valued attributes, and automatically finds the natural classes in that data. It can be seen as a Naive Bayes classifier where the class node is hidden. [Free]

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WinMine Toolkit

http://research.microsoft.com/~dmax/WinMine/tooldoc.htm

Tools for learning dependency networks or Bayesian networks from data. [Free]

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Bayes Net Toolbox for Matlab

http://www.cs.berkeley.edu/~murphyk/Bayes/bnt.html

Supports several inference algorithms and learning algorithms. Allows simulation of static and dynamic networks, including HMMs, IOHMMs, and Kalman filters.

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FastMix

http://www.cs.cmu.edu/~psand/

Generates Gaussian mixture models for large datasets using efficient EM clustering algorithms. [Free]

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Incremental Decision Tree Induction

http://www.cs.umass.edu/~lrn/iti/index.html

An algorithm that incrementally constructs decision trees from labeled examples. [Free for individual research purposes]

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C4.5 and FOIL

http://www.cse.unsw.edu.au/~quinlan/

Home page of R. Quinlan. FTP links to FOIL (inductive logic programming) and C4.5 (learning decision trees).

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Weka 3 - Open Source Machine Learning Software in Java

http://www.cs.waikato.ac.nz/~ml/weka/index.html

Suite that implements decision trees and tables, rule learners, Naive Bayes, support vector machines, voted perceptrons, multi-layer perceptron. Meta schemes include bagging, stacking, and boosting. [Free under GPL]

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The NEITHER Theory Revision System

http://www.cs.utexas.edu/users/ml/neither.html

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]

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LNKnet Pattern Classification Software

http://www.ll.mit.edu/IST/lnknet/index.html

A software package developed at MIT Lincoln Laboratory which integrates more than 20 neural network, statistical, and machine learning classification, clustering, and feature selection algorithms into a modular software package. [Public domain license]

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HMMER

http://hmmer.wustl.edu/

Sean Eddy's lab, present profile hidden Markov models for biological sequence analysis, a tool used to build HMMs from multiple alignments, and calculate e-scores.

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The R Project for Statistical Computing

http://www.r-project.org/

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, and clustering).

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Machine Learning Packages from the CMU Artificial Intelligence Repository

http://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/learning/systems/0.html

Links to FTP repositories including ACCEL, CLASSWEB, FOCL, FOIL, GOLEM, INDEX, MILES, MOBAL, OC1, Occamn, PEBLS, RWM.

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The CHILL Empirical Parser Acquisition System

http://www.cs.utexas.edu/users/ml/chill.html

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]

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Category for: Artificial Intelligence: Machine Learning: Software