Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks

by Rashmi Raghava, Narasimha Murty, M.N. Murty

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...

• Format: Paperback
• Language: English
• ISBN: 3319410628
• ISBN13: 9783319410623
• Release Date: August 2016
• Publisher: Springer
• Length: 95 Pages
• Weight: 0.37 lbs.
• Dimensions: 0.2" x 6.1" x 9.2"