Artificial Intelligence: Machine Learning: Software: Page 3

Suite of Perl tools for counting and analyzing word n-grams in text; provides standard tests of association for identifying word n-grams in large corpora and allows users to implement other tests with minimal Perl knowledge.

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]

A C++ library for many pattern recognition tasks; main focus is on image analysis, but a general architecture and XML-based data interchange format allows it to be used for many other tasks as well.

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

An architecture for planning and learning. [Free]

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

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

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

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

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]