Regularization, Optimization, Kernels, and Support Vector Machines Contributor(s): Suykens, Johan A. K. (Editor), Signoretto, Marco (Editor), Argyriou, Andreas (Editor) |
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ISBN: 0367658984 ISBN-13: 9780367658984 Publisher: CRC Press OUR PRICE: $56.95 Product Type: Paperback - Other Formats Published: September 2020 |
Additional Information |
BISAC Categories: - Computers | Programming - Games - Computers | Databases - Data Mining - Computers | Machine Theory |
Dewey: 511.8 |
Physical Information: 525 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines. Consisting of 21 chapters authored by leading researchers in machine learning, this comprehensive reference:
Regularization, Optimization, Kernels, and Support Vector Machines is ideal for researchers in machine learning, pattern recognition, data mining, signal processing, statistical learning, and related areas. |