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Mutual Information Estimation in Higher Dimensions: A Speed-Up Of A K-Nearest Neighbor Based Estimator

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03132441" target="_blank" >RIV/68407700:21230/07:03132441 - isvavai.cz</a>

  • Alternative codes found

    RIV/67985807:_____/07:00339977

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mutual Information Estimation in Higher Dimensions: A Speed-Up Of A K-Nearest Neighbor Based Estimator

  • Original language description

    The paper explores the options of conducting fixed mass and fixed radius searches in higher dimensions. The effectivity of Boxing, kD-tries and Friedmans projective method are compared for many probability distribution functions.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

    D - Article in proceedings

  • 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

    2007

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Adaptive and Natural Computing Algorithms

  • ISBN

    978-3-540-71589-4

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    790-797

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Varšava

  • Event date

    Apr 11, 2007

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article