Learning Kernel Classifiers pdf epub mobi txt 电子书 下载 2024


Learning Kernel Classifiers

简体网页||繁体网页
Ralf Herbrich
The MIT Press
2001-12-15
384
USD 45.00
Hardcover
Adaptive Computation and Machine Learning
9780262083065

图书标签: 机器学习  支持向量机与核方法  数学  Kernel   


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发表于2024-11-01

Learning Kernel Classifiers epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Learning Kernel Classifiers epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Learning Kernel Classifiers pdf epub mobi txt 电子书 下载 2024



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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.

Learning Kernel Classifiers 下载 mobi epub pdf txt 电子书

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