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Computers and technology — programming languages, software, hardware, internet services, security, artificial intelligence, and more. Explore thousands of tech resources organized by a knowledgeable community of editors.
56203 resources
Generates Gaussian mixture models for large datasets using efficient KD-clustering algorithms. [Free]
An algorithm that incrementally constructs decision trees from labeled examples. [AFL]
A collection of tools that implement decision trees and tables, rule learners, Naive Bayes, support vector machines, voted perceptrons, multi-layer perceptron. Meta schemes include bagging, stacking, and boosting. Written in Java. [GPL]
A system to modify an incomplete or incorrect rule base to make it consistent with a set of input training examples. Written in C++ [Free]
A system of research planning and learning utilizing explanation-based learning, partial evaluation, experimentation, graphical knowledge acquisition, automatic abstraction, mixed-initiative planning, and case-based reasoning. [Free]
Various classes, packages, macros and other software systems related to machine learning. [GPL]
A general approach to the problem of inducing natural language parsers. It uses an annotated corpus, and produces a parser by using ILP for inducing the rules that control the actions of a shift-reduce parser. [Free]
Hidden Markov Models software library from the Center of Applied Informatics, Cologne. Includes algorithms such as Viterbi, Baum-Welch, and Forward-Backward. [GPL]
A general purpose library for Bayesian filtering written in C++. [LGPL]
Computational model of human language acquisition written in Java; currently acquires a protolanguage of nouns and verbs language based on visual perception. [BSD]
Software for counting and analyzing word n-grams in text. This package provides standard tests of association for identifying word n-grams in large corpora and allows users to implement other tests with minimal scripting knowledge. Written in Perl. [GPL]
A windows-based program that classifies text based on trained material. Designed for automated essay scoring, BETSY can be applied to any text classification task. [GPL]
The home page of R. Quinlan with FTP links to FOIL (inductive logic programming) and C4.5 (learning decision trees). [LGPL]
Scalable non-parametric classification with Polynomial MPMC Cascades for use in Matlab. [GPL]