Suykens, Johan A.K.
Regularization, Optimization, Kernels, and Support Vector Machines
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- ISBN 13:
- 9780367658984
- author:
- Suykens, Johan A.K.
- format:
- Paperback / softback
- publisher:
- CRC Press
- language:
- English
- Publication Year:
- 2020
- Pages:
- 525
- Dimensions:
- 23.4 x 15.6 centimeters (0.98 kg
- Genre:
- Computers, Entertainment & Games, Games Programming,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Regularization, Optimization, Kernels, and Support Vector Machines by Johan A. K. Suykens, Marco Signoretto, and Andreas Argyriou. This comprehensive reference covers the latest research and advances in machine learning, bringing together contributions from leading experts in the field. The book explores topics such as regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines. With 21 chapters covering a wide range of subjects, this book is an invaluable resource for anyone looking to deepen their understanding of machine learning techniques.
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