An Introduction to Support Vector Machines and Other Kernel - Based Learning Methods / by Cristianini Nello and Shawe-Taylor John. [Electronic Resource]
Material type: Computer filePublication details: Cambridge : Cambridge University Press, 2000Description: 192pISBN:- 9780521780193
- 006.31 N329I
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 006.31 N329I (Browse shelf(Opens below)) | Available | Platform : EBSCO | EB0079 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
006.31 J271E Evaluating Learning Algorithms : A Classification Perspective | 006.31 J774A Adversarial Machine Learning | 006.31 M954M Machine Learning : A Probabilistic Perspective | 006.31 N329I An Introduction to Support Vector Machines and Other Kernel - Based Learning Methods | 006.31 Sh28K Kernel Methods for Pattern Analysis | 006.31 Sh93U Understanding Machine Learning : From Theory to Algorithms | 006.312 At82D Data Mining for the Social Sciences : An Introduction |
This is the first comprehensive introduction to Support Vector Machines (SVMs), a 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.
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