Number of the records: 1  

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

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    SYSNO ASEP0357017
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JOstatní články
    TitleFeature Selection Software to Improve Accuracy and Reduce Cost in Automated Recognition Systems
    Author(s) Somol, Petr (UTIA-B) RID
    Number of authors1
    Source TitleERCIM News. - : European Research Consortium for Informatics and Mathematics - ISSN 0926-4981
    Roč. 2011, č. 84 (2011), s. 54-54
    Number of pages1 s.
    Languageeng - English
    CountryFR - France
    Keywordsfeature selection ; software library ; machine learning
    Subject RIVBD - Theory of Information
    R&D Projects1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationA 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.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2011
Number of the records: 1  

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