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

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


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

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

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

  • Page: 189
  • Format: pdf
  • ISBN: 9780521780193
  • Publisher: Cambridge University Press


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

<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
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Nello Cristianini, University of Bristol; John Shawe-Taylor, Royal  Rule extraction from support vector machines based on consistent
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Keywords. Support Vector Machines, Kernel Methods, Statistical Learning. Theory. 1. .. is restricted by introducing an upper bound D Support Vector Machines Explained - Tristan Fletcher
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This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical 





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