Artificial Intelligence: Machine Learning: Software

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

Commercial Securities Modeler that uses artificial neural networks and genetic algorithms for customizable prediction

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]

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

A library of C++ classes for Bayesian filtering. From the Australian Centre for Field Robotics. [C++, MIT license]

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

Shotaro Akaho's implementation of EM algorithm for modeling Mixtures of Gaussians (Java, free). An extended version is available from the author.

Computational model of human language acquisition written in Java; currently acquires a protolanguage of nouns and verbs language based on visual perception

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

Hidden Markov Models software library from the Center of Applied Informatics, Cologne. Includes algorithms such as Viterbi, Baum-Welch, and Forward-Backward. [C, GPL license]