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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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http://dbpedia.org/resource/Czech_Academy_of_Sciences +
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http://dbpedia.org/resource/Pattern_recognition +
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"2012-09-09"^^xsd:date
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3.1.1
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http://dbpedia.org/resource/Cross-platform +
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http://dbpedia.org/resource/C%2B%2B +
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http://commons.wikimedia.org/wiki/Special:FilePath/FeatureSelectionToolbox1_screenshot.png?width=300 +
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https://archive.today/20121221091458/http:/kzi.polsl.pl/~jbiesiada/Infosel/ +
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29550075
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6607
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1074629014
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A screenshot shows the full user interface … 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.rameters of optimal subset search methods.
|
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http://dbpedia.org/resource/Czech_Academy_of_Sciences +
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http://dbpedia.org/resource/Machine_learning +
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"2012-09-09"^^xsd:date
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| http://dbpedia.org/property/latestReleaseVersion
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3.1
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Free for non-commercial use
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Feature Selection Toolbox
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http://dbpedia.org/resource/Cross-platform +
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http://dbpedia.org/resource/C%2B%2B +
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http://fst.utia.cz +
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| rdfs:comment |
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.
|
| rdfs:label |
Feature Selection Toolbox
|
