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Kernel Methods and Machine Learning Kung, S. Y. (Princeton University, New Jersey)
Kernel Methods and Machine Learning
Kung, S. Y. (Princeton University, New Jersey)
Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning theory. Including over two hundred problems and real-world examples, it is an essential resource for graduate students and professionals in computer science, electrical and biomedical engineering. Solutions to problems are provided online for instructors.
602 pages, 136 b/w illus. 21 tables
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | April 17, 2014 |
| ISBN13 | 9781107024960 |
| Publishers | Cambridge University Press |
| Pages | 572 |
| Dimensions | 174 × 255 × 32 mm · 1.22 kg |
| Language | English |