Various sorting algorithms including insertion, quick, merge, heap, Dutch National Flag, and radix with on-line demos. [Free]

An object orientated environment for machine learning in Matlab. Algorithms can be plugged together and can be compared with (e.g. model selection, statistical tests and visual plots). Algorithms may be downloaded separately. [GPL]

A program which discovers interesting and repetitive subgraphs in labeled graph representations using the minimum description length principle. Includes applications to molecular biology. [Free]

A Matlab toolbox that automatically builds surrogate models of a given data source within the accuracy and time constraints set by the user. Some key features are the inclusion of scalable regression models, knowledge discovery, best-in-class modellin...

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]

A formal system for constructing artificial intelligent software agents from the book, 'Design of Logic-based Intelligent Systems' covering such topics as production rules, neural nets, support vector machines, fuzzy logic, and Bayesian networks. Lice...

A production rule based system implemented in a Common Lisp Object System (CLOS) for the development of Lisp based intelligent software agents. [LGPL]

Windows software tool that induces rules from your data using the PNC2 cluster algorithm. An integrated parameter-tuning component allows easy adjustment of the algorithms behavior to the given problem without requiring any further knowledge. [GPL]

This package forms a complete gradient descent machine learning library. Modules support vector machines in classification and regression, ensemble models such as bagging or adaboost, non-parametric models such as K-nearest neighbors, Parzen regressio...

A program implementing several memory-based learning techniques. These learners store representation of the training set explicitly, and classifies new cases by extrapolation from the most similar stored cases. [AFL]