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

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

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

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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. 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.
Product details
Edition:
1
Number of Pages:
204
Release Date:
2000-03-23
Publication Date:
2015-01-07
Publisher:
Cambridge University Press
Languages:
Original: English
ISBN10:
0521780195
ISBN13:
9780521780193
Weight:
540 g
Height:
175 cm
Width:
250 cm
Thickness:
16 cm
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