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Schenker Adam Schenker - Böcker

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  1. Trapping of Small Organisms Moving Randomly

    av James R Miller, Christopher G Adams, Paul A Weston, Jeffrey H Schenker

    Häftad, Engelska, 2015-04-09
    681
    Köp
    Skickas från oss inom 5-8 vardagar.
    Trapping of Small Organisms Moving Randomly

    This new book is the first to make logical and important connections between trapping and foraging ecology. It develops and describesboth verbally and mathematically--the underlying principles that determine and define trap-organism interactions. ...

    Läs mer »

  2. Trapping of Small Organisms Moving Randomly E-bok

    av James R Miller, Christopher G Adams, Paul A Weston, Jeffrey H Schenker

    E-bok (PDF, LCP), Engelska, 2015-03-31
    911
    Ladda ned
    Läs i Bokus Reader för iOS och Android.
    Trapping of Small Organisms Moving Randomly

    This new book is the first to make logical and important connections between trapping and foraging ecology. It develops and describes-both verbally and mathematically--the underlying principles that determine and define trap-organism interactions....

    Läs mer »

  3. Graph-theoretic Techniques For Web Content Mining

    av Adam Schenker, Horst Bunke, Mark Last, Abraham Kandel

    Inbunden, Engelska, 2005-05-01
    2007
    Köp
    Specialorder (osäker tillgång). Skickas från oss inom 11-20 vardagar.
    Graph-theoretic Techniques For Web Content Mining

    This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, su...

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  4. Graph-theoretic Techniques For Web Content Mining E-bok

    av Schenker Adam Schenker, Bunke Horst Bunke, Last Mark Last, Kandel Abraham Kandel

    E-bok (PDF, LCP), Engelska, 2005-05-31
    855
    Ladda ned
    Läs i Bokus Reader för iOS och Android.
    Graph-theoretic Techniques For Web Content Mining

    This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, su...

    Läs mer »