Least Squares Support Vector Machines 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Johan A K Suykens 作者

World Scientific Publishing Company

譯者

2003-01 出版日期

308 頁數

USD 78.00 價格

Hardcover

叢書系列

9789812381514 圖書編碼

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發表於2024-11-10

Least Squares Support Vector Machines 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Least Squares Support Vector Machines 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Least Squares Support Vector Machines 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Least Squares Support Vector Machines 在線電子書著者簡介

Least Squares Support Vector Machines 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Least Squares Support Vector Machines 在線電子書圖書描述

An examination of least squares support vector machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpretations from optimization theory. The authors explain the natural links between LS-SVM classifiers and kernel Fisher discriminant analysis. Bayesian inference of LS-SVM models is discussed, together with methods for imposing sparseness and employing robust statistics. The framework is further extended towards unsupervised learning by considering PCA analysis and its kernel version as a one-class modelling problem. This leads to new primal-dual support vector machine formulations for kernel PCA and kernel CCA analysis. Furthermore, LS-SVM formulations are given for recurrent networks and control. In general, support vector machines may pose heavy computational challenges for large data sets. For this purpose, a method of fixed size LS-SVM is proposed where the estimation is done in the primal space in relation to a Nystrom sampling with active selection of support vectors. The methods are illustrated with several examples.

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