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Amelia Zafra – författare

Visar alla böcker från författaren Amelia Zafra. Handla med fri frakt och snabb leverans.

3 produkter

  1. Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans - Multiple Instance Learning, Inbunden. Tillgänglighet: Lägg i varukorg

    Multiple Instance Learning

    Foundations and Algorithms

    Av Francisco Herrera, Sebastián Ventura m. fl.

    Inbunden, 2016

    1128 kr

    Lägg i varukorg

    This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the most important algorithms for MIL such as classification, regression and clustering. With a focus on classification, a taxonomy is set and …

  2. Sarah Vluymans, Danel Sanchez-Tarrago, Amelia Zafra, Chris Cornelis, Rafael Bello, Sebastian Ventura, Francisco Herrera - Multiple Instance Learning, E-bok. Tillgänglighet: Lägg i varukorg

    Multiple Instance Learning

    Foundations and Algorithms

    Av Sarah Vluymans, Danel Sanchez-Tarrago m. fl.

    E-bok, 2016

    1470 kr

    Lägg i varukorg

    This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the most important algorithms for MIL such as classification, regression and clustering. With a focus on classification, a taxonomy is set and …

  3. Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez-Tarragó, Sarah Vluymans - Multiple Instance Learning, Häftad. Tillgänglighet: Lägg i varukorg

    Multiple Instance Learning

    Foundations and Algorithms

    Av Francisco Herrera, Sebastián Ventura m. fl.

    Häftad, 2018

    1128 kr

    Lägg i varukorg

    This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the most important algorithms for MIL such as classification, regression and clustering. With a focus on classification, a taxonomy is set and …