An Introduction to Support Vector Machines and Other Kernel based Learning Metho
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Cambridge University Press; 1 edition | ISBN: 0521780195 | 189 pages | March 28, 2000 | CHM | 3 Mb
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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Cambridge University Press Statistical Learning Theory Support Vector Machines Ideal Starting Point Relevant Literature Theory Students Edition Isbn Cambridge University Further Study New Generation Pointers Kernel Grasp Cambridge Press Mirror Application
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