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Home: Artificial Intelligence: Machine Learning: Software
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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]
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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.
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- Bayes++
A library of C++ classes for Bayesian filtering. From the Australian Centre for Field Robotics. [C++, MIT license]
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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
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- FastMix
Generates Gaussian mixture models for large datasets using efficient EM clustering algorithms. [Free]
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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]
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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.
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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.
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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]
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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.
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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.
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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.
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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]
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- Pfam
A large collection of multiple sequence alignments and trained hidden Markov models covering many common protein domains.
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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]
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