Artificial Intelligence: Machine Learning: Software: Page 2

Software toolkit for building and using motif-based hidden Markov models of DNA and proteins - from the Univ. of California-San Diego.

The program discovers interesting and repetitive subgraphs in a labeled graph representation using the minimum description length principle. Applications to molecular biology. [Free]

On this page an imlementation of Hidden Markov Models and an application to part-of-speech tagging. Also available a multivariate hypothesis testing software for Gaussian Data and TRUEVIZ: A groundtruth/metadata Editing and Visualizing Toolkit for OCR.

A large collection of multiple sequence alignments and trained hidden Markov models covering many common protein domains.

MEME System is a program for discovering motifs in groups of related DNA or protein sequences. MAST is a tool for searching biological sequence databases for sequences that contain one or more of a group of known motifs.

A collection of tools for creating and using HMMs for biological sequences. Free license for academic and nonprofit usages.

Software for learning Mixture Distributions. Commercial license.

QM: Guiding inductive learning with a Qualitative Model. LPE: Lazy Partial Evaluation. CN2: Rule induction from examples. [Free]

A program for inducing Bayesian decision trees. Applications to speech. [Free]

Directory of software tools for modeling graphs and Bayesian networks. Some have learning capabilities.

Machine learning library for Observable Operator Models (OOMs) suitable for time-series and sequence data classification and prediction. OOMs are similar but more powerful than HMMs. [C++, BSD license]

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]

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

A general purpose library for Bayesian filtering. [C++, LGPL license]

Platform- and data-source-independent library for embedded data mining based on the CWM/OMG and other data mining standards. XELOPES-Java algorithms: SVMs, market basket analysis, sequence analysis, decision trees, cluster analysis, multidimensional grouping. XELOPES-C++ algorithms: SVMs, decision trees. [GPL]

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