Learning Kernel Classifiers 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Ralf Herbrich 作者

The MIT Press

譯者

2001-12-15 出版日期

384 頁數

USD 45.00 價格

Hardcover

Adaptive Computation and Machine Learning 叢書系列

9780262083065 圖書編碼

Learning Kernel Classifiers 在線電子書圖書標籤: 機器學習支持嚮量機與核方法數學 Kernel

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Learning Kernel Classifiers 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Learning Kernel Classifiers 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Learning Kernel Classifiers 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Learning Kernel Classifiers 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Learning Kernel Classifiers 在線電子書圖書描述

Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier--a limited, but well-established and comprehensively studied model--and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This book provides the first comprehensive overview of both the theory and algorithms of kernel classifiers, including the most recent developments. It begins by describing the major algorithmic advances: kernel perceptron learning, kernel Fisher discriminants, support vector machines, relevance vector machines, Gaussian processes, and Bayes point machines. Then follows a detailed introduction to learning theory, including VC and PAC-Bayesian theory, data-dependent structural risk minimization, and compression bounds. Throughout, the book emphasizes the interaction between theory and algorithms: how learning algorithms work and why. The book includes many examples, complete pseudo code of the algorithms presented, and an extensive source code library.

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