SUPPORT VECTOR MACHINE-A Survey

Support vector machine (SVM) is one of the most important machine learning algorithms that has been implemented mostly in pattern recognition problem, for e.g. classifying the network traffic and also in image processing for recognition . Lots of research is going on in this technique for the improvement of Qos (quality of service) and in security perspective. The latest works in this field have proved that SVM performs better than other network traffic classifier in terms of generalization of problem. This paper presents a theoretical aspect of SVM, its concepts and its applications overview.

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