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Machine Learning Framework

Developer's Description

The machine learning framework for Mathematica is a collection of powerful machine learning algorithms integrated into a framework for the main purpose of data analysis.

Fuzzy logic is one of its key techniques. The framework allows for combining different machine learning algorithms to solve one single problem. This combination of distinct algorithms may give the user unforeseen insights into its data.

The algorithms are highly parameterizable. Given this parameterizability combined with the efficient core engine of the machine learning framework for Mathematica, the user is able to analyze their data interactively, with short cycles of changing parameter settings and examining the results.

The machine learning framework for Mathematica covers a wide range of machine learning algorithms which can be integrated to work together and therefore yield new results.

Full Specifications

What's new in version 1.5

  • fuzzy decision trees
  • fuzzy rule learning
  • fuzzy regression trees
  • cluster descriptions
  • optimization of fuzzy controllers
  • self-organizing maps
  • automated model testing
  • advanced data visualization
  • See release notes
  • General

    Release August 26, 2008
    Date Added April 13, 2006
    Version 1.5

    Operating Systems

    Operating Systems Windows, Windows 2000, Windows XP
    Additional Requirements
  • MS Windows 2000 / XP
  • Mathematica 5.0 (or later)
  • Popularity

    Total Downloads 253
    Downloads Last Week 0
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