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Generation of Decision Trees using Reinforcement Learning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03096683" target="_blank" >RIV/68407700:21230/04:03096683 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Generation of Decision Trees using Reinforcement Learning

  • Original language description

    We propose a new methodology for generation of regression trees that uses some of the concepts of reinforcement learning. Main motivation of our effort is increasing the ability of algorithm to deal with enormous amounts of data and with time-evolving concept exhibited by the data. In this paper we present basic algorithm that will be in future extended to analogical task of decision trees generation.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

    A - Audiovisual production

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • ISBN

    80-01-02945-X

  • Place of publication

    Praha

  • Publisher/client name

  • Version

  • Carrier ID

    neuvedeno