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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

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Amazon ebooks download kindle An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

<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>

Kernel Learning in Support Vector Machines using Dual-Objective
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of the best-known methods is the support vector machines. (SVM), a kernel-based method which has found applications in many pattern recognition problems [2]  An Introduction to Support Vector Machines and Other Kernel-based
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