2000 AnIntroductionToSVMs

• (Cristianini & Shawe-Taylor, 2000) ⇒ Nello Cristianini, John Shawe-Taylor. (2000). “An Introduction to Support Vector Machines: And Other Kernel-based Learning Methods.” Cambridge University Press. ISBN:0521780195

Subject Headings: Support Vector Machine.

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Book Overview

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.

References

• (Cristianini & Shawe-Taylor, 2000) ⇒ Nello Cristianini, and John Shawe-Taylor. (2000). “An Introduction to Support Vector Machines: And Other Kernel-based Learning Methods.” Cambridge University Press. ISBN:0521780195,

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2000 AnIntroductionToSVMs	John Shawe-Taylor Nello Cristianini			An Introduction to Support Vector Machines: And Other Kernel-based Learning Methods			http://books.google.com/books?id=B-Y88GdO1yYC			2000