Bøger af Luc Devroye
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1.036,95 kr. 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-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, free classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.
- Bog
- 1.036,95 kr.
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1.430,95 kr. 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. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.
- Bog
- 1.430,95 kr.
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1.584,95 - 1.593,95 kr. This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning.
- Bog
- 1.584,95 kr.
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1.636,95 kr. - Bog
- 1.636,95 kr.
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1.096,95 - 1.621,95 kr. Density estimation has evolved enormously since the days of bar plots and histograms, but researchers and users are still struggling with the problem of the selection of the bin widths.
- Bog
- 1.096,95 kr.