Learning with Supportive Vectors An Introduction to Support Vector Machines and their Applications
نویسنده
چکیده
Support Vector Machines have acquired a central position in the field of Machine Learning and Pattern Recognition in the past decade and have been known to deliver state-of-theart performance in applications such as text categorization, hand-written character recognition, bio-sequence analysis, etc. In this article we provide a gentle introduction into the workings of Support Vector Machines (also known as SVMs) and attempt to provide some insight into the learning mechanisms involved. We begin with a general introduction to mathematical learning and move on to discuss the learning framework used by the SVM architecture.
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