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Book synopsis

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 m

Book details

• Full title: Regularization, Optimization, Kernels, and Support Vector Machines
• Author: Johan A. K. Suykens, Marco Signoretto, Andreas Argyriou
• Language: English
• Binding: Paperback
• Number of pages: 525
• EAN: 9780367658984
• ISBN: 0367658984
• ID: 33061707
• Publisher: Taylor & Francis Ltd
• Weight: 980 g
• Dimensions: 234 × 156 mm
• Date of publishing: 30. September 2020

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