{ "item_title" : "Regularization, Optimization, Kernels, and Support Vector Machines", "item_author" : [" Johan A. K. Suykens", "Marco Signoretto", "Andreas Argyriou "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/48/224/139/1482241390_b.jpg", "price_data" : { "retail_price" : "140.00", "online_price" : "140.00", "our_price" : "140.00", "club_price" : "140.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details