Machine Learning Software

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  • BayesBuilder  - Program designed for constructing and testing Bayesian networks. Available for free noncommercial uses.
  • BNet.EngineKit  - Developer toolkit enables researchers and engineers to embed belief networks in software applications.
  • ClassMarker  - Application useful for identifying genes that can differentiate among diseases as well as the genes associated with diseases that share common molecular phenomena.
  • FastMix  - Tool developed to generate Gaussian mixture models for large datasets using EM clustering algorithms.
  • HMMER  - Biosequence analysis application that makes use of profile hidden Markov models (profile HMMs).
  • ILK Software  - Offers downloadable software packages for machine learning and Natural Language Processing (NLP).
  • KEEL  - Software designed to assess evolutionary algorithms for data mining problems.
  • LingPipe  - Suite of Java libraries for the linguistic analysis of human language.
  • Machine Learning Software Packages  - Collection of machine learning software from the Carnegie Mellon University Artificial Intelligence Repository.
  • MALLET  - Integrated suite of Java codes designed for statistical natural language, document classification, clustering, information extraction, and other machine learning applications to text.
  • OpenCyc  - Open source version of the Cyc technology, a general knowledge base and common sense reasoning engine.
  • The Spider  - Object oriented environment designed to handle large unsupervised, supervised, or semi-supervised machine learning problems.
  • Torch  - Machine learning library written in simple C++. Supports vector machines and features speech recognition tools.
  • Weka  - Java data mining software offering a collection of machine learning algorithms for data pre-processing, classification, regression, clustering, association rules, visualization, and other data mining tasks.
 
 
 
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