[download pdf] An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

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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<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>

An Introduction to Support Vector Machines and Other Kernel-based
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An Introduction to Support. Vector Machines: And Other Kernel-Based Learning Methods. Cambridge,. England: Cambridge University Press. An Introduction to Support Vector Machines and Other Kernel-Based
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Cristianini and Shawe-Taylor (2000) published An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods which includes a chapter  Kernel methods: a survey of current techniques
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