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Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications - Industrial and Applied Mathematics 2023 edition
Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications - Industrial and Applied Mathematics
This book contains select chapters on support vector algorithms from different perspectives, including mathematical background, properties of various kernel functions, and several applications.
305 pages, 58 Illustrations, color; 25 Illustrations, black and white; XIV, 305 p. 83 illus., 58 ill
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | March 20, 2024 |
| ISBN13 | 9789811965555 |
| Publishers | Springer Verlag, Singapore |
| Pages | 305 |
| Dimensions | 150 × 220 × 10 mm · 487 g |
| Editor | Chakraverty, Snehashish |
| Editor | Parand, Kourosh |
| Editor | Rad, Jamal Amani |