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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods by John Shawe-Taylor, Nello Cristianini

• An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
• John Shawe-Taylor, Nello Cristianini
• Page: 189
• Format: pdf, ePub, mobi, fb2
• ISBN: 9780521780193
• Publisher: Cambridge University Press

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Downloading audio books on kindle An Introduction to Support Vector Machines and Other Kernel-based Learning Methods by John Shawe-Taylor, Nello Cristianini 9780521780193

<p>This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. Students will find the book both stimulating and accessible, while practitioners will be guided smoothly through the material required for a good grasp of the theory and its applications. The concepts are introduced gradually in accessible and self-contained stages, while the presentation is rigorous and thorough. Pointers to relevant literature and web sites containing software make it an ideal starting point for further study. </p>

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Our method exploits the “locality” of RBF kernels to up- 1 Introduction in statistical learning have placed Support Vector Machines (SVM) as one of the .. other kernel-based learning methods, chapter 4 Generalisation Theory, page 68. Support Vector Machines and Kernel Methods - CIS
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Traditionally Support Vector Machines (SVMs) are constructed by the novel efficiencies introduced in [14]). .. and other kernel-based learning methods. An Introduction to Support Vector Machines and Other Kernel-based
Title: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods Author(s): Nello Cristianini and John Shawe-Taylor Pages: 190 Kernel methods: a survey of current techniques
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