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Statistical Learning Theory and Support Vector Machines

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3 Author(s)
Nasien, D. ; Soft Comput. Res. Group, Univ. Teknol. Malaysia, Johor Bahru, Malaysia ; Yuhaniz, S.S. ; Haron, H.

It has been more than 30 years that statistical learning theory (SLT) has been introduced in the field of machine learning. Its objective is to provide a framework for studying the problem of inference that is of gaining knowledge, making predictions, making decisions or constructing models from a set of data. Support Vector Machine, a method based on SLT, then emerged and becoming a widely accepted method for solving real-world problems. This paper overviews the pattern recognition techniques and describes the state of art in SVM in the field of pattern recognition.

Published in:

Computer Research and Development, 2010 Second International Conference on

Date of Conference:

7-10 May 2010

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