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Learning with Kernels
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In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: Support Vector Machine (SVM). Kernel machines provide a modular framework that can be adapted to different tasks and domains by the choice of kernel function and the basic algorithm. It provides all the concepts necessary to enable the reader is equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy to use kernel algorithms and to understand and apply the powerful algorithms that have evolved over the last few years.
Computer eBook Details
- ISBN-10: 0262194759
- ISBN-13: 9780262194754
- Publisher: The MIT Press
- Pages: 644
- Date: December 2001