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Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks - SpringerBriefs in Computer Science M.N. Murty 1st ed. 2016 edition
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Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks - SpringerBriefs in Computer Science
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
| Media | Boeken Paperback Book (Boek met zachte kaft en gelijmde rug) |
| Vrijgegeven | 25 augustus 2016 |
| ISBN13 | 9783319410623 |
| Uitgevers | Springer International Publishing AG |
| Pagina's | 95 |
| Afmetingen | 155 × 235 × 6 mm · 167 g |
| Taal en grammatica | Frans |
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