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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F11%3A00357017" target="_blank" >RIV/67985556:_____/11:00357017 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1M0572" target="_blank" >1M0572: Data, algorithms, decision making</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ERCIM News

  • ISSN

    0926-4981

  • e-ISSN

  • Volume of the periodical

    2011

  • Issue of the periodical within the volume

    84

  • Country of publishing house

    FR - FRANCE

  • Number of pages

    1

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database