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Top / Computers / Artificial_Intelligence / Machine_Learning / Software /

SNoW: Sparse Network of Winnows
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]
http://l2r.cs.uiuc.edu/~danr/snow.html
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MEME/MAST: Motif Discovery and Search
A software package to discover motifs (highly conserved regions) in groups of related DNA or protein sequences and, search sequence databases using motifs. [Commercial]
http://meme.sdsc.edu/meme/intro.html
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Maximum Entropy Modeling Toolkit
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]
http://homepages.inf.ed.ac.uk/s0450736/maxent_toolkit.html
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Nonparametric Classification with Polynomial MPMC Cascades
Scalable non-parametric classification with Polynomial MPMC Cascades for use in Matlab. [GPL]
http://cervisia.org/machine_learning_code.php
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Rapid Miner
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]
http://rapid-i.com/
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KEEL: Knowledge Extraction based on Evolutionary Learning
The aim of this project is to develop a Computational Environment for integrating the design and use of knowledge extraction models from data using evolutionary algorithms. Genetic learning may also be applied to the model. [GPL]
http://sci2s.ugr.es/keel/
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The PNC2 Rule Induction System
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]
http://www.newty.de/pnc2/index.html
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The Torch Machine Learning Library
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,
http://www.torch.ch
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(H)HMM Library and Designer
This library allows probabilistic sequence models to be constructed through use of Hidden Markov models (HMMs) and Hierarchical Markov models HMMs (HHMMs) in Ocaml programming language. [GPL]
http://connex.lip6.fr/%7ebinsztok/hhld.html
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Spider: General Purpose Machine Learning Toolbox in Matlab
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]
http://www.kyb.tuebingen.mpg.de/bs/people/spider/index.html
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