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Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions
Hardcover
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery
Business GeneralGeneral Computers
ISBN13: 9781439857922
Publisher: Crc Pr Inc
Published: Dec 17 2012
Pages: 364
Weight: 1.40
Height: 0.90 Width: 6.10 Depth: 9.40
Language: English
Enabling a sound understanding of SVMs, this book gives readers the tools to solve real-world problems using SVMs. It presents an accessible treatment of the two main components of SVMs-classification problems and regression problems. The authors emphasize the close connection between optimization theory and SVMs since optimization is one of the pillars on which SVMs are built. They construct SVMs for semi-supervised, knowledge-based, and robust classification problems. They also cover SVMs for Universum, privileged, multi-class, multi-instance, and multi-label classification problems.
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