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Optimally Trained Regression Trees and Occam's Razor

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    0404694 - UIVT-O 20020058 RIV DE eng C - Conference Paper (international conference)
    Savický, Petr - Klaschka, Jan
    Optimally Trained Regression Trees and Occam's Razor.
    COMPSTAT 2002. Proceedings in Computational Statistics. Heidelberg: PhysicaVerlag, 2002 - (Härdle, W.; Rönz, B.), s. 479-484. ISBN 3-7908-1517-9.
    [COMPSTAT 2002. Berlin (DE), 24.08.2002-28.08.2002]
    R&D Projects: GA ČR GA201/00/1482
    Institutional research plan: AV0Z1030915
    Keywords : regression trees * recursive partitioning * optimization * dynamic programming * bottom-up algorithms * generalization * Occam's razor
    Subject RIV: BA - General Mathematics
    Permanent Link: http://hdl.handle.net/11104/0124933
     
     

Number of the records: 1  

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