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Feature Selection Toolbox (FST) is software primarily for feature selection in the machine learning domain, written in C++, developed at the Institute of Information Theory and Automation (UTIA), of the Czech Academy of Sciences.

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  • Feature Selection Toolbox (FST) is software primarily for feature selection in the machine learning domain, written in C++, developed at the Institute of Information Theory and Automation (UTIA), of the Czech Academy of Sciences. (en)
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dbo:genre
dbo:latestReleaseDate
  • 2012-09-09 (xsd:date)
dbo:latestReleaseVersion
  • 3.1.1
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  • 1074629014 (xsd:integer)
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  • A screenshot shows the full user interface of FST1. At left is a log window with feature selection results. At center right is a result table window. At bottom right is a graphic projection of data and mixture model components. On top of it is the dialog for setting parameters of optimal subset search methods. (en)
dbp:developer
dbp:genre
dbp:latestReleaseDate
  • 2012-09-09 (xsd:date)
dbp:latestReleaseVersion
  • 3.100000 (xsd:double)
dbp:license
  • Free for non-commercial use (en)
dbp:name
  • Feature Selection Toolbox (en)
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dbp:screenshot
  • FeatureSelectionToolbox1 screenshot.png (en)
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  • Feature Selection Toolbox (FST) is software primarily for feature selection in the machine learning domain, written in C++, developed at the Institute of Information Theory and Automation (UTIA), of the Czech Academy of Sciences. (en)
rdfs:label
  • Feature Selection Toolbox (en)
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  • Feature Selection Toolbox (en)
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