An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Nello Cristianini, John Shawe-Taylor, Department of Computer Science Royal Holloway John Shawe-Taylor
Cambridge University Press, 23.3.2000 - 189 sivua
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.
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An Introduction to Support Vector Machines and Other Kernel-based Learning ...
Nello Cristianini,John Shawe-Taylor
Rajoitettu esikatselu - 2000