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On the way to learning deterministic objects

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    SYSNO ASEP0411031
    Document TypeK - Proceedings Paper (Czech conf.)
    R&D Document TypeThe record was not marked in the RIV
    TitleOn the way to learning deterministic objects
    Author(s) Bůcha, Jindřich (UTIA-B)
    Issue dataOstrava: VŠB, 2003
    ISBN80-248-0229-5
    Source TitleZnalosti 2003. Sborník příspěvků 2. ročníku konference / Svátek V.
    s. 252-261
    Number of pages10 s.
    ActionZnalosti 2003 /2./
    Event date19.02.2003-21.02.2003
    VEvent locationOstrava
    CountryCZ - Czech Republic
    Event typeCST
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordsmachine learning ; objects ; integration
    Subject RIVBC - Control Systems Theory
    R&D ProjectsGA102/99/1564 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z1075907 - UTIA-B
    AnnotationThe paper deals with learning knowledge about objects, i.e. entities of the real environment. This is an important topic, often neglected by machine learning. The whole experimental approach is implemented via the integration of several areas of AI, namely machine learning, knowledge base management, reasoning, especially Prolog-like and analogical. More specifically, the approach is based on further generalization of already learned (generalized) rules, and on analogy.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.

Number of the records: 1  

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