STUDY ON MACHINE LEARNING TECHNIQUES USING SVM

Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1446

Title:	STUDY ON MACHINE LEARNING TECHNIQUES USING SVM
Other Titles:	International Journal of Advanced Research in Computer and Communication Engineering
Authors:	M, Selvanayaki T S, Anushya Devi
Keywords:	Machine Learning Supervised Learning Unsupervised Learning Classification Prediction Support vector Machine
Issue Date:	6-Jan-2017
Publisher:	Pioneer College of Arts and Science, Coimbatore
Abstract:	Machine Learning is the study of computer algorithms that improve automatically through experience. Applications range from data mining programs that discover general rules in large data sets, to information filtering systems that automatically learn user’s interests. An important task of machine learning is classification, also referred as pattern recognition; where one attempts to build algorithms capable of automatically constructing methods for distinguish between different exemplars. This paper deals about different machine learning techniques for the prediction process.
URI:	http://localhost:8080/xmlui/handle/123456789/1446
ISBN:	2319 – 5940
Appears in Collections:	International Conference

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