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Regularization, Optimization, Kernels, and Support Vector Machines
Hardcover
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
DatabasesGeneral ComputersProgramming
ISBN13: 9781482241396
Publisher: CRC Press
Published: Oct 30 2014
Pages: 526
Weight: 1.80
Height: 1.40 Width: 6.40 Depth: 9.00
Language: English
This book is a collection of invited contributions from leading researchers in machine learning. Comprised of 21 chapters, this comprehensive reference covers the latest research and advances in regularization, sparsity, and compressed sensing; describes recent progress in convex and large-scale optimization, kernel methods, and support vector machines; and discusses output kernel learning, domain adaptation, multi-layer support vector machines, and more.
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