Program designed for constructing and testing Bayesian networks. Available for free noncommercial uses.

Developer toolkit enables researchers and engineers to embed belief networks in software applications.

Application useful for identifying genes that can differentiate among diseases as well as the genes associated with diseases that share common molecular phenomena.

Tool developed to generate Gaussian mixture models for large datasets using EM clustering algorithms.

Biosequence analysis application that makes use of profile hidden Markov models (profile HMMs).

Offers downloadable software packages for machine learning and Natural Language Processing (NLP).

Software designed to assess evolutionary algorithms for data mining problems.

Suite of Java libraries for the linguistic analysis of human language.

Collection of machine learning software from the Carnegie Mellon University Artificial Intelligence Repository.

Integrated suite of Java codes designed for statistical natural language, document classification, clustering, information extraction, and other machine learning applications to text.

Software toolkit useful for building and using motif-based hidden Markov models of DNA and proteins.

Object oriented environment designed to handle large unsupervised, supervised, or semi-supervised machine learning problems.

Machine learning library written in simple C++. Supports vector machines and features speech recognition tools.

Java data mining software offering a collection of machine learning algorithms for data pre-processing, classification, regression, clustering, association rules, visualization, and other data mining tasks.