An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (ISBN-13: 9780521780193 and ISBN-10: 0521780195), written by authors Nello Cristianini, John Shawe-Taylor, was published by Cambridge University Press in 2000. With an overall rating of 3.8 stars, it's a notable title among other AI & Machine Learning (Information Theory, Computer Science, Computer Simulation, Microsoft Programming, Programming, Software, Bioinformatics, Biological Sciences, Mathematics) books. You can easily purchase or rent An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (Hardcover, Used) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.4.

Description

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

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