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Feature Selection Software to Improve Accuracy and Reduce Cost in Automated Recognition Systems

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    0357017 - ÚTIA 2011 RIV FR eng J - Journal Article
    Somol, Petr
    Feature Selection Software to Improve Accuracy and Reduce Cost in Automated Recognition Systems.
    ERCIM News. Roč. 2011, č. 84 (2011), s. 54-54. ISSN 0926-4981
    R&D Projects: GA MŠMT 1M0572
    Grant - others:GA MŠk(CZ) 2C06019
    Institutional research plan: CEZ:AV0Z10750506
    Keywords : feature selection * software library * machine learning
    Subject RIV: BD - Theory of Information
    http://library.utia.cas.cz/separaty/2011/RO/somol-feature selection software to improve accuracy and reduce cost in automated recognition systems.pdf

    A specialized software library that helps identify the most informative measurements used in automated recognition systems has been made available to the public by researchers from the Institute of Information Theory and Automation of the Czech Academy of Sciences.
    Permanent Link: http://hdl.handle.net/11104/0195391

     
     
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