Počet záznamů: 1

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

  1. 1.
    0357017 - UTIA-B 2011 RIV FR eng J - Článek v odborném periodiku
    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
    Grant CEP: GA MŠk 1M0572
    Grant ostatní: GA MŠk(CZ) 2C06019
    Výzkumný záměr: CEZ:AV0Z10750506
    Klíčová slova: feature selection * software library * machine learning
    Kód oboru RIV: BD - Teorie informace
    http://library.utia.cas.cz/separaty/2011/RO/somol-feature selection software to improve accuracy and reduce cost in automated recognition systems.pdf 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.
    Trvalý link: http://hdl.handle.net/11104/0195391