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Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks - SpringerBriefs in Computer Science 1st ed. 2016 edition
M.N. Murty
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Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks - SpringerBriefs in Computer Science 1st ed. 2016 edition
M.N. Murty
This work reviews the state of the art in SVM and perceptron classifiers. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used.
108 pages, 25 black & white illustrations, biography
| Mídia | Livros Paperback Book (Livro de capa flexível e brochura) |
| Lançado | 25 de agosto de 2016 |
| ISBN13 | 9783319410623 |
| Editoras | Springer International Publishing AG |
| Páginas | 95 |
| Dimensões | 155 × 235 × 6 mm · 167 g |
| Idioma | French |
