Support Vector Machines and Perceptrons Learning, Optimization, Classification, and Application to Social Networks
tarafından
Murty, M.N. author.
Başlık
:
Support Vector Machines and Perceptrons Learning, Optimization, Classification, and Application to Social Networks
Yazar
:
Murty, M.N. author.
ISBN
:
9783319410630
Yazar
:
Murty, M.N. author.
Fiziksel Niteleme
:
XIII, 95 p. 25 illus. online resource.
Seri
:
SpringerBriefs in Computer Science,
İçindekiler
:
Introduction -- Linear Discriminant Function -- Perceptron -- Linear Support Vector Machines -- Kernel Based SVM -- Application to Social Networks -- Conclusion.
Özet
:
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 the boundary and noisy vectors. Further, when the data are not linearly separable, tuning the coefficient of the regularization term becomes crucial. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used. The text examines applications to social and information networks. The work also discusses another popular linear classifier, the perceptron, and compares its performance with that of the SVM in different application areas.>.
Konu Başlığı
:
Computer science.
Computer system failures.
Algorithms.
Data mining.
Pattern recognition.
Application software.
Data Mining and Knowledge Discovery.
Algorithm Analysis and Problem Complexity.
Computer Appl. in Social and Behavioral Sciences.
System Performance and Evaluation.
Yazar Ek Girişi
:
Raghava, Rashmi.
Ek Kurum Yazar
:
SpringerLink (Online service)
Elektronik Erişim
:
Materyal Türü | Barkod | Yer Numarası | Durumu/İade Tarihi |
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Electronic Book | 18133-1001 | Q337.5 | Springer E-Book Collection |