[PDF.01eo] An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

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

[PDF.cc40] An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

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 | #807375 in Books |  Cambridge University Press |  2000-03-28 | Original language:English | PDF # 1 |  9.72 x.51 x6.85l,1.26 | File type: PDF | 204 pages

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||63 of 69 people found the following review helpful.| A delightful book to learn support vector machines|By Abstract Space|This is a first book introducing support vector learning, a very hot area in machine learning, data mining, and statistics. Aside from Burges (1998)'s tutorial article and Vapnik (1995)'s book, this book by two authors actively working in this field is a welcome addition which is likely to become a stan

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...

You can specify the type of files you want, for your device.An Introduction to Support Vector Machines and Other Kernel-based Learning Methods   |  Nello Cristianini, John Shawe-Taylor. A good, fresh read, highly recommended.

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