Implementations of machine learning algorithms.
This page was last updated on September 3rd, 2008
This page was last updated on September 3rd, 2008
Software (from Machine Learning)
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Machine Learning Packages from the CMU Artificial Intelligence Repository
Links to FTP repositories including ACCEL, CLASSWEB, FOCL, FOIL, GOLEM, INDEX, MILES, MOBAL, OC1, Occamn, PEBLS, RWM.
SNoW
A learning architecture specifically taylored for learning in very high-dimensional feature spaces. The current release uses sparse variations of Winnow, Perceptron, and Naive Bayes. Free for personal academic and research purposes.
HMM and other statistical programs
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.
The R Project for Statistical Computing
R, also known as `GNU S', is a free system for statistical computation and graphics similar to S. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification
AutoClass
Takes 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]
Multiple EM for Motif Elicitation and Motif Alignment and Search Tool (MEME/MAST)
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.
An AI Learning System
A description of an AI system, with a demonstration program and Delphi sourcecode.
Machine Learning Programs by Peter Clark
QM: Guiding inductive learning with a Qualitative Model. LPE: Lazy Partial Evaluation. CN2: Rule induction from examples. [Free]
ANNI - Artificial Neural Network Investing
Commercial Securities Modeler that uses artificial neural networks and genetic algorithms for customizable prediction
Statistical Decision Trees
A program for inducing Bayesian decision trees. Applications to speech. [Free]
Bayes++
A library of C++ classes for Bayesian filtering. From the Australian Centre for Field Robotics. [C++, MIT license]
N-gram Statistics Package (NSP)
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.
XELOPES Data Mining Library
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 group
Bayesian Essay Test Scoring System (BETSY)
A freeware windows-based program that classifies text based on trained material. Designed for automated essay scoring, BETSY can be applied to any text classification task.
Sequence Alignment and Modeling System (SAM)
A collection of tools for creating and using HMMs for biological sequences. Free license for academic and nonprofit usages.
Observable Operator Modeling Kit
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]
Meta-MEME v2.0.1
Software toolkit for building and using motif-based hidden Markov models of DNA and proteins - from the Univ. of California-San Diego.
Software Packages for Graphical Models/Bayesian Networks
Directory of software tools for modeling graphs and Bayesian networks. Some have learning capabilities.
C4.5 and FOIL
Home page of R. Quinlan. FTP links to FOIL (inductive logic programming) and C4.5 (learning decision trees).
PRODIGY System
An architecture for planning and learning. [Free]
Experience-Based Language Acquisition
Computational model of human language acquisition written in Java; currently acquires a protolanguage of nouns and verbs language based on visual perception
GNU Hidden Markov Model Library
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]
The CHILL Empirical Parser Acquisition System
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]
Least-Squares Policy Iteration (LSPI)
LSPI is a reinforcement learning algorithm designed to solve control problems where the underlying process can be modeled as a Markov Decision Process (MDP). [Matlab, BSD style license]
SUBDUE Knowledge Discovery in Structural Databases
The program discovers interesting and repetitive subgraphs in a labeled graph representation using the minimum description length principle. Applications to molecular biology. [Free]
EM algorithm for Mixture models
Shotaro Akaho's implementation of EM algorithm for modeling Mixtures of Gaussians (Java, free). An extended version is available from the author.
FastMix
Generates Gaussian mixture models for large datasets using efficient EM clustering algorithms. [Free]
Tilburg Memory Based Learner (TIMBL)
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. Free for educational or non-commercial resea
Pfam
A large collection of multiple sequence alignments and trained hidden Markov models covering many common protein domains.
The NEITHER Theory Revision System
A propositional theory refinement system that will modify a incomplete or incorrect rule base so as to make it consistent with a set of input training examples. [Free]
LNKnet Pattern Classification Software
A software package developed at MIT Lincoln Laboratory which integrates more than 20 neural network, statistical, and machine learning classification, clustering, and feature selection algorithms into a modular software package. [Public domain license]
Pattern Recognition Application Programmer's Interface (PRAPI)
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.
Bayes Net Toolbox for Matlab
Supports several inference algorithms and learning algorithms. Allows simulation of static and dynamic networks, including HMMs, IOHMMs, and Kalman filters.
Weka 3 - Open Source Machine Learning Software in Java
Suite that implements decision trees and tables, rule learners, Naive Bayes, support vector machines, voted perceptrons, multi-layer perceptron. Meta schemes include bagging, stacking, and boosting. [Free under GPL]
HMMER
Sean Eddy's lab, present profile hidden Markov models for biological sequence analysis, a tool used to build HMMs from multiple alignments, and calculate e-scores.
The Bow Toolkit
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)
WinMine Toolkit
Tools for learning dependency networks or Bayesian networks from data. [Free]
MIX
Software for learning Mixture Distributions. Commercial license.
Incremental Decision Tree Induction
An algorithm that incrementally constructs decision trees from labeled examples. [Free for individual research purposes]
libbpfl - Bayesian Probability Filtering Library
A general purpose library for Bayesian filtering. [C++, LGPL license]
Links to FTP repositories including ACCEL, CLASSWEB, FOCL, FOIL, GOLEM, INDEX, MILES, MOBAL, OC1, Occamn, PEBLS, RWM.
A learning architecture specifically taylored for learning in very high-dimensional feature spaces. The current release uses sparse variations of Winnow, Perceptron, and Naive Bayes. Free for personal academic and research purposes.
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.
R, also known as `GNU S', is a free system for statistical computation and graphics similar to S. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification
Takes 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]
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 description of an AI system, with a demonstration program and Delphi sourcecode.
QM: Guiding inductive learning with a Qualitative Model. LPE: Lazy Partial Evaluation. CN2: Rule induction from examples. [Free]
Commercial Securities Modeler that uses artificial neural networks and genetic algorithms for customizable prediction
A program for inducing Bayesian decision trees. Applications to speech. [Free]
A library of C++ classes for Bayesian filtering. From the Australian Centre for Field Robotics. [C++, MIT license]
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.
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 group
A freeware windows-based program that classifies text based on trained material. Designed for automated essay scoring, BETSY can be applied to any text classification task.
A collection of tools for creating and using HMMs for biological sequences. Free license for academic and nonprofit usages.
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]
Software toolkit for building and using motif-based hidden Markov models of DNA and proteins - from the Univ. of California-San Diego.
Directory of software tools for modeling graphs and Bayesian networks. Some have learning capabilities.
Home page of R. Quinlan. FTP links to FOIL (inductive logic programming) and C4.5 (learning decision trees).
An architecture for planning and learning. [Free]
Computational model of human language acquisition written in Java; currently acquires a protolanguage of nouns and verbs language based on visual perception
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 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]
LSPI is a reinforcement learning algorithm designed to solve control problems where the underlying process can be modeled as a Markov Decision Process (MDP). [Matlab, BSD style license]
The program discovers interesting and repetitive subgraphs in a labeled graph representation using the minimum description length principle. Applications to molecular biology. [Free]
Shotaro Akaho's implementation of EM algorithm for modeling Mixtures of Gaussians (Java, free). An extended version is available from the author.
Generates Gaussian mixture models for large datasets using efficient EM clustering algorithms. [Free]
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. Free for educational or non-commercial resea
A large collection of multiple sequence alignments and trained hidden Markov models covering many common protein domains.
A propositional theory refinement system that will modify a incomplete or incorrect rule base so as to make it consistent with a set of input training examples. [Free]
A software package developed at MIT Lincoln Laboratory which integrates more than 20 neural network, statistical, and machine learning classification, clustering, and feature selection algorithms into a modular software package. [Public domain 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.
Supports several inference algorithms and learning algorithms. Allows simulation of static and dynamic networks, including HMMs, IOHMMs, and Kalman filters.
Suite that implements decision trees and tables, rule learners, Naive Bayes, support vector machines, voted perceptrons, multi-layer perceptron. Meta schemes include bagging, stacking, and boosting. [Free under GPL]
Sean Eddy's lab, present profile hidden Markov models for biological sequence analysis, a tool used to build HMMs from multiple alignments, and calculate e-scores.
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)
Tools for learning dependency networks or Bayesian networks from data. [Free]
Software for learning Mixture Distributions. Commercial license.
An algorithm that incrementally constructs decision trees from labeled examples. [Free for individual research purposes]
A general purpose library for Bayesian filtering. [C++, LGPL license]
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