Wectar - Computers - Artificial Intelligence - Machine Learning - Software

Subcategories
Belief Networks@	Data Mining@	Neural Networks@	Statistics@	Support Vector Machines@


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	OpenCyc URL: http://www.opencyc.org/ ODP description: Open source version of the Cyc technology, the world's largest and most complete general knowledge base and commonsense reasoning engine. Can be used as the basis of a wide variety of intelligent applications including; rapid development of an ontology in a vertical area, email prioritizing, routing, summarization, and annotating, expert systems, game engine development. [GPL] Page title: OpenCyc.org Page description: OpenCyc is the open source version of the Cyc technology, the worlds largest and most complete general knowledge base and commonsense reasonging engine. Cycorp, the builders of Cyc, have set up an independent organization, OpenCyc.org, to disseminate and administer OpenCyc, and have committed to a pipeline through which all current and future Cyc technology will flow into ResearchCyc (available for R&D in academia and industry) and then Ope...
	Open Source Computer Vision Library URL: http://www.intel.com/technology/computing/opencv/index.htm ODP description: Open source computer learning system making use of the Bayesian inferencing engine. [GPL]
	LingPipe: Natural Language Processor (NLP) URL: http://www.alias-i.com/lingpipe/ ODP description: A suite of Java libraries for the linguistic analysis of human language which can link entity mentions to database entries, uncover relations, cluster documents, and discover significant trends. [GPL] Page title: LingPipe Home
	Weka 3: Data Mining Software URL: http://www.cs.waikato.ac.nz/~ml/weka/index.html ODP description: 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] Page title: Weka 3 - Data Mining with Open Source Machine Learning Software in Java
	Rapid Miner URL: http://rapid-i.com/ ODP description: The Rapid Miner toolset is an environment for machine learning through use of nested operators. Multiple experiments can be arbitrarily nested together through use of a graphical XML based user interface. (Formerly YALE) [GPL] Page title: Rapid - I - Home Page description: Rapid - I: rapid intelligent solutions for data mining, machine learning and knowledge discovery in databases, Rapid-I. Rapid Intelligence. Rapid Solutions.
	ORANGE: Inter-active Machine Learning Data Mining components URL: http://www.ailab.si/orange ODP description: A component based framework for data input/output, preprocessing, predictive modelling, ensemble methods, and modelling validation. [GPL] Page title: Orange
	MALLET: Advanced Machine Learning for Language URL: http://mallet.cs.umass.edu/index.php/Main_Page ODP description: An integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text. [GPL] Page title: Main Page - Mallet
	UCI Machine Learning URL: http://www.ics.uci.edu/~mlearn/MLRepository.html ODP description: 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] Page title: UCI Machine Learning Repository
	Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering URL: http://www.cs.cmu.edu/~mccallum/bow/ ODP description: 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). [LGPL]
	GAlib: Matthew's Genetic Algorithms Library URL: http://lancet.mit.edu/ga/ ODP description: A toolset of genetic algorithm objects for C++ to perform optimization. Uses any representation and genetic operators. The documentation contains implementation and examples. Nice screenshots. PVM for distributed, parallel implementations. Includes graphic examples that use the Athena, Motif widget sets, or MFC. [BSD]
	Bayes Net Toolbox for Matlab URL: http://bnt.sourceforge.net/ ODP description: Supports several inference algorithms and learning algorithms. Allows simulation of static and dynamic networks, including HMMs, IOHMMs, and Kalman filters. [GPL]
	Data Access Tools from the US Census Bureau URL: http://www.census.gov/main/www/access.html ODP description: General purpose data display and extraction tools that works with Census Bureau data. Census data available for pickup through census bureau employees only. [Free] Page title: Data Access Tools from the Census Bureau Page description: Data Access Tools from the U.S. Census Bureau.
	SenseClusters URL: http://senseclusters.sourceforge.net/ ODP description: Programs to cluster similar contexts together using unsupervised knowledge-lean methods for word sense discrimination, email categorization, and name discrimination. Written in Perl. [GNU] Page title: Ted Pedersen - SenseClusters
	Pattern Matching Pointers URL: http://www.cs.ucr.edu/~stelo/pattern.html ODP description: Using algorithms to address issues of searching and matching strings and more complicated patterns such as trees, regular expressions, graphs, point sets, and arrays. [GPL] Page title: Pattern Matching Pointers (maintained by Stefano Lonardi)
	Maximum Entropy Modeling Toolkit URL: http://homepages.inf.ed.ac.uk/s0450736/maxent_toolkit.html ODP description: A library of tools for constructing maximum entropy (maxent) model in either python or C++. Some program features are L-BFGS and GIS parameter estimation, and gaussian prior smoothing. [GPL] Page title: Maximum Entropy Modeling Toolkit for Python and C++
	NSP: N-gram Statistics Package URL: http://www.d.umn.edu/~tpederse/nsp.html ODP description: 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] Page title: Ted Pedersen - Ngram Statistics Package / N-gram / Ngrams / Bigram / Bigrams
	HMMER: Biosequence Analysis URL: http://hmmer.janelia.org/ ODP description: A tool used to build HMMs from multiple alignments and calculate e-scores. [GPL] Page title: HMMER: biosequence analysis using profile hidden Markov models
	WinMine Toolkit Home Page URL: http://research.microsoft.com/~dmax/winmine/tooldoc.htm ODP description: By David Chickering at Microsoft Research. The WinMine Toolkit is a set of tools for Windows 2000/NT/XP that allow you to build statistical models from data. The majority of the tools are command-line executables that can be run in scripts.
	WinBUGS: The BUGS Project URL: http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/contents.shtml ODP description: 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] Page title: The BUGS Project - WinBUGS
	VIBES: Variational Inference for Bayesian Networks URL: http://vibes.sourceforge.net/ ODP description: A software package which allows variance-modeled posterior inference to be performed automatically on a Bayesian network. [GPL]