LIBROS DEL AUTOR: laszlo gyorfi

5 resultados para LIBROS DEL AUTOR: laszlo gyorfi

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  • A Probabilistic Theory of Pattern Recognition
    Gabor Lugosi / László Györfi / Luc Devroye
    Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Cher...
    Disponible

    46,09 €

  • A Probabilistic Theory of Pattern Recognition
    Gabor Lugosi / Laszlo Gyorfi / Luc Devroye
    A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will b...
    Disponible

    119,87 €

  • A Distribution-Free Theory of Nonparametric Regression
    Adam Krzyzak / Laszlo Gyorfi / Michael Köhler
    The regression estimation problem has a long history. Already in 1632 Galileo Galilei used a procedure which can be interpreted as ?tting a linear relationship to contaminated observed data. Such ?tting of a line through a cloud of points is the classical linear regression problem. A solution of this problem is provided by the famous principle of least squares, which was discov...
    Disponible

    46,06 €

  • A Distribution-Free Theory of Nonparametric Regression
    Adam Krzyzak / László Györfi / Michael Kohler
     This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The emphasis is on distribution-free properties of the estimates. ...
    Disponible

    341,17 €

  • Principles of Nonparametric Learning
    Laszlo Gyorfi
    This volume provides a systematic in-depth analysis of nonparametric learning. It covers the theoretical limits and the asymptotical optimal algorithms and estimates, such as pattern recognition, nonparametric regression estimation, universal prediction, vector quantization, distribution and density estimation, and genetic programming. ...
    Disponible

    195,11 €