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WinMine Toolkit

http://research.microsoft.com/~dmax/WinMine/tooldoc.htm

A set of tools for Windows 2000/NT/XP that allow you to build statistical models from data. [Free]

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WinBUGS: The BUGS Project

http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/contents.shtml

A stand-alone program to allow practical MCMC methods available to applied statisticians. Either a point and click interface can be used to control the analysis or a graphical interface can be constructed. The BUGs project also includes links to GeoBUGS for spatial analysis, PKBUGS for pharmacokinetic modelling, and OpenBUGS for latest developments. [GPL]

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What If: Web-based Scientific Discovery

http://swift.cmbi.ru.nl/servers/html/index.html

An algorithm engine which will calculate everything from symmetry, torsion angles, polar fraction through protein analysis and bond angles. Online version only. [Free]

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Weka 3: Data Mining Software

http://www.cs.waikato.ac.nz/~ml/weka/index.html

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]

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VIBES: Variational Inference for Bayesian Networks

http://vibes.sourceforge.net/

A software package which allows variance-modeled posterior inference to be performed automatically on a Bayesian network. [GPL]

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UMDHMM and other statistical programs

http://www.kanungo.com/software/software.html

This tool implements Hidden Markov Models and application to part-of-speech tagging. Also available; a multivariate hypothesis testing software for gaussian data, and a groundtruth/metadata editing and visualizing toolkit for OCR. [GPL]

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UCI Machine Learning

http://www.ics.uci.edu/~mlearn/MLRepository.html

A repository of databases, domain theories and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms at the University of California at Irvine. [Free]

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Tree Visualizer

http://www.sgi.com/tech/mlc/trees.html

Software which allows one to navigate (fly) through the data tree, zoom in on interesting nodes, click on bars to get counts, and mark interesting places in the tree. Includes datasets for automobiles, voting, produce, and medical research. Uses LEDA, ([AFL] licensed only). [GPL]

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TIMBL: Tilburg Memory Based Learner

http://ilk.uvt.nl/software.html

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]

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The Torch Machine Learning Library

http://www.torch.ch/

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 regression, and Parzen density estimation. Includes speech recognition tools. Written in C++ [BSD]

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The ScaLab Machine Learning Repository

http://scalab.uc3m.es/~dborrajo/ml-systems/

The machine learning software repository of Carlos III University of Madrid contains many tools along with the Hamlet, Boole, and Minnie tools developed there. This repository is no longer maintained but still has some nice tool sets in it along with links, biographies, research groups and has a live contact. [GPL]

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The PNC2 Rule Induction System

http://www.newty.de/pnc2/index.html

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]

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The Lisa Project

http://lisa.sourceforge.net/

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

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The Leibniz Software System

http://www.utdallas.edu/~klaus/Leibnizprogram/leibnizmain.html

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. License is given through purchase of the book alone. [COMM]

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The AutoClass Project

http://ti.arc.nasa.gov/tech/rse/synthesis-projects-applications/autoclass/

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]

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SUrrogate MOdeling (SUMO) Toolbox

http://www.sumo.intec.ugent.be/?q=SUMO_toolbox

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 modelling techniques, and logging and profiling tools. [COMM]

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SUBDUE: Graph Based Knowledge Discovery

http://ailab.wsu.edu/subdue/

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

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Spider: General Purpose Machine Learning Toolbox in Matlab

http://www.kyb.tuebingen.mpg.de/bs/people/spider/index.html

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]

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Sorting Algorithms for Machine Learning

http://www.csse.monash.edu.au/~lloyd/tildeAlgDS/Sort/

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

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SNoW: Sparse Network of Winnows

http://cogcomp.cs.illinois.edu/page/software_view/1

A learning architecture specifically tailored for learning in very high-dimensional feature spaces. The current release uses sparse variations of Winnow, Perceptron, and Naive Bayes. [AFL]

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SMILE (Structural Modeling, Inference, and Learning Engine) with GeNIe

http://genie.sis.pitt.edu/

SMILE (Structural Modeling, Inference, and Learning Engine) is a fully portable library of C++ classes implementing graphical decision-theoretic methods, such as Bayesian net-works and influence diagrams, directly amenable to inclusion in intelligent systems. Its Windows user interface, GeNIe is a versatile and user-friendly development environment for graphical decision-theoretic models. Both modules, developed at the Decision Systems Laboratory, University of Pittsburgh. Registration is required for download. [GPL]

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shogun | A Large Scale Machine Learning Toolbox

http://www.shogun-toolbox.org/

A generic SVN object interface with many implementations including OCAS, Liblinear, LibSVM, SVMLight, SVMLin, and GPDT. Each SVN provides efficitne implementations of the most common kernals such as Linear, Ploynomial, Gaussian, and Sigmond Kernel and others. Implemented in C++ and interfaces to Matlab(tm), R, Octave and Python. [GPL]

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