[Read now] Leman Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks (SpringerBriefs in Computer Science)
·•●- M.N. Murty, Rashmi Raghava ·•●-
| #6017561 in Books | 2016-08-18 | 2016-08-25 | Original language:English | PDF # 1 | 9.25 x.26 x6.10l,.0 | File Name: 3319410628 | 95 pages
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This work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification. SVMs are associated with maximizing the margin between two classes. The concerned optimization problem is a convex optimization guaranteeing a globally optimal solution. The weight vector associated with SVM is obtained by a linear combination of some of...
[PDF.pz18] Leman Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks (SpringerBriefs in Computer Science) Rating: 4.67 (601 Votes)
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