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

• Κύριοι συγγραφείς: Murty, M.N (Συγγραφέας), Raghava, Rashmi (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: Computer science.; Computer system failures.; Algorithms.; Data mining.; Pattern recognition.; Application software.; Computer Science.; Pattern Recognition.; Data Mining and Knowledge Discovery.; Algorithm Analysis and Problem Complexity.; Computer Appl. in Social and Behavioral Sciences.; System Performance and Evaluation.

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 o...