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 PDF
By:Nello Cristianini
Published on 2000 by
This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard tools for machine learning and data mining. 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 ensure that it forms an ideal starting point for further study. Equally, the book and its associated web site will guide practitioners to updated literature, new applications, and on-line software.
This Book was ranked at 32 by Google Books for keyword medical computer application algorithm.
Book ID of An Introduction to Support Vector Machines and Other Kernel-based Learning Methods's Books is 7alKzQEACAAJ, Book which was written byNello Cristianinihave ETAG "a9EHNVwSBVE"
Book which was published by since 2000 have ISBNs, ISBN 13 Code is and ISBN 10 Code is
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Download An Introduction to Support Vector Machines and Other Kernel-based Learning Methods PDF
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