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

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


An-Introduction-to-Support-Vector.pdf
ISBN: 9780521780193 | 189 pages | 5 Mb

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


Ebooks zip download An Introduction to Support Vector Machines and Other Kernel-based Learning Methods 9780521780193 FB2 (English literature) by John Shawe-Taylor, Nello Cristianini

Overview

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.



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