Resultaten voor 'gabor lugosi'

5 resultaten
  1. Concentration Inequalities
    1. Stéphane Boucheron
    2. Gábor Lugosi
    3. Pascal Massart

    Concentration Inequalities

    A Nonasymptotic Theory of Independence

    An accessible account of the rich theory surrounding concentration inequalities in probability theory, with applications from machine learning and statistics to high-dimensional geometry. This book introduces key ideas and presents a detailed summary of the state-of-the-art in the area, making it ideal for independent learning and as a reference.

    € 61,50
  2. Learning Theory

    Learning Theory

    19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings

    Constitutes the refereed proceedings of the 19th Annual Conference on Learning Theory, COLT 2006, held in Pittsburgh, Pennsylvania, USA, June 2006. This book presents the papers that cover a range of topics including clustering, un- and semi-supervised learning, statistical learning theory, regularized learning and kernel methods, and more.

    € 120,95
  3. A Probabilistic Theory of Pattern Recognition
    1. Luc Devroye
    2. Laszlo Györfi
    3. Gabor Lugosi

    A Probabilistic Theory of Pattern Recognition

    The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, free classifiers, and neural networks.

    € 119,95
  4. Algorithmic Learning Theory

    Algorithmic Learning Theory

    20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009, Proceedings

    The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning.

    € 60,50
  5. A Probabilistic Theory of Pattern Recognition
    1. Luc Devroye
    2. Laszlo Györfi
    3. Gabor Lugosi

    A Probabilistic Theory of Pattern Recognition

    The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, free classifiers, and neural networks.

    € 174,95