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Genady Grabarnik – författare

Visar alla böcker från författaren Genady Grabarnik. Handla med fri frakt och snabb leverans.

4 produkter

  1. Irina Rish, Genady Grabarnik - Sparse Modeling, Häftad. Tillgänglighet: Lägg i varukorg

    Sparse Modeling

    Theory, Algorithms, and Applications

    Av Irina Rish, Genady Grabarnik

    Häftad, 2020

    735 kr

    Lägg i varukorg

    Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing.Sparse Modeling: Theory, …

  2. Genady Grabarnik, Irina Rish - Sparse Modeling, E-bok. Tillgänglighet: Lägg i varukorg

    Sparse Modeling

    Theory, Algorithms, and Applications

    Av Genady Grabarnik, Irina Rish

    E-bok, 2014

    847 kr

    Lägg i varukorg

    Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing.Sparse Modeling: Theory, …

  3. Irina Rish, Genady Grabarnik - Sparse Modeling, Inbunden. Tillgänglighet: Lägg i varukorg

    Sparse Modeling

    Theory, Algorithms, and Applications

    Av Irina Rish, Genady Grabarnik

    Inbunden, 2014

    1266 kr

    Lägg i varukorg

    Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing.Sparse Modeling: Theory, …

  4. Genady Grabarnik, Irina Rish - Sparse Modeling, E-bok. Tillgänglighet: Lägg i varukorg

    Sparse Modeling

    Theory, Algorithms, and Applications

    Av Genady Grabarnik, Irina Rish

    E-bok, 2014

    847 kr

    Lägg i varukorg

    Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing.Sparse Modeling: Theory, …