| Directory > Computers > Artificial Intelligence > Machine Learning > Software 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 research purposes.
http://ilk.uvt.nl/software.html
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ANNI - Artificial Neural Network Investing
Commercial Securities Modeler that uses artificial neural networks and genetic algorithms for
customizable prediction
http://NeuralInvesting.com
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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.
http://www.neurosci.aist.go.jp/~akaho/MixtureEM.html
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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.
http://www.ee.oulu.fi/~topiolli/?section=cpplibs
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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.
http://www.d.umn.edu/~tpederse/nsp.html
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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
http://sourceforge.net/projects/ebla
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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 grouping. XELOPES-C++ algorithms:
SVMs, decision trees. [GPL]
http://www.prudsys.com/Produkte/Algorithmen/Xelopes
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libbpfl - Bayesian Probability Filtering Library
A general purpose library for Bayesian filtering. [C++, LGPL license]
http://libbpfl.sourceforge.net
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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]
http://www.cs.duke.edu/~mgl/LSPI
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Bayes++
A library of C++ classes for Bayesian filtering. From the Australian Centre for Field Robotics.
[C++, MIT license]
http://bayesclasses.sourceforge.net
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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]
http://sourceforge.net/projects/ghmm
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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]
http://omk.sourceforge.net
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Software Packages for Graphical Models/Bayesian Networks
Directory of software tools for modeling graphs and Bayesian networks. Some have learning
capabilities.
http://www.ai.mit.edu/~murphyk/Software/bnsoft.html
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Statistical Decision Trees
A program for inducing Bayesian decision trees. Applications to speech. [Free]
http://www.isip.msstate.edu/projects/speech/software/legacy/decision_tree/index.html
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Machine Learning Programs by Peter Clark
QM: Guiding inductive learning with a Qualitative Model. LPE: Lazy Partial Evaluation. CN2: Rule
induction from examples. [Free]
http://www.cs.utexas.edu/users/pclark/software.html
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MIX
Software for learning Mixture Distributions. Commercial license.
http://icarus.math.mcmaster.ca/peter/mix/mix.html
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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.
http://www.cse.ucsc.edu/research/compbio/sam.html
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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.
http://meme.sdsc.edu/meme/website/
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Pfam
A large collection of multiple sequence alignments and trained hidden Markov models covering many
common protein domains.
http://pfam.wustl.edu/
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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.
http://ericae.net/betsy/
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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.
http://www.cfar.umd.edu/~kanungo/software/software.html
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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.
http://l2r.cs.uiuc.edu/~cogcomp/cc-register.html
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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]
http://cygnus.uta.edu/subdue/
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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.
http://metameme.sdsc.edu/
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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]
http://www.cs.utexas.edu/users/ml/chill.html
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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.
http://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/learning/systems/0.html
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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, and clustering).
http://www.r-project.org/
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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.
http://hmmer.wustl.edu/
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PRODIGY System
An architecture for planning and learning. [Free]
http://www.cs.cmu.edu/afs/cs.cmu.edu/project/prodigy/Web/prodigy-home.html
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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]
http://www.ll.mit.edu/IST/lnknet/index.html
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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]
http://www.cs.utexas.edu/users/ml/neither.html
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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]
http://www.cs.waikato.ac.nz/~ml/weka/index.html
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C4.5 and FOIL
Home page of R. Quinlan. FTP links to FOIL (inductive logic programming) and C4.5 (learning
decision trees).
http://www.cse.unsw.edu.au/~quinlan/
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Incremental Decision Tree Induction
An algorithm that incrementally constructs decision trees from labeled examples. [Free for
individual research purposes]
http://www.cs.umass.edu/~lrn/iti/index.html
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FastMix
Generates Gaussian mixture models for large datasets using efficient EM clustering algorithms.
[Free]
http://www.cs.cmu.edu/~psand/
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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.
http://www.cs.berkeley.edu/~murphyk/Bayes/bnt.html
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WinMine Toolkit
Tools for learning dependency networks or Bayesian networks from data. [Free]
http://research.microsoft.com/~dmax/WinMine/tooldoc.htm
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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]
http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/
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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) and document clustering (crossbow).
[Free]
http://www.cs.cmu.edu/~mccallum/bow/
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An AI Learning System
A description of an AI system, with a demonstration program and Delphi sourcecode.
http://tcw2.ppsw.rug.nl/~jorrit/ai/ai.html
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