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Feature Selection Toolbox : ウィキペディア英語版 | Feature Selection Toolbox
Feature Selection Toolbox (FST) is a software focusing primarily on 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. ==Feature Selection Toolbox 1==
The first generation of the software (FST1) is a Windows application with user interface allowing users to apply several sub-optimal, optimal and mixture-based feature selection methods on data stored in a trivial proprietary textual flat file format.
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Feature Selection Toolbox」の詳細全文を読む
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