The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-…
CITATION STYLE
JC, B. C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery. courses.cs.washington.edu. Retrieved from http://courses.cs.washington.edu/courses/cse573/01au/lectsvm/burges98tutorial-svm.ps
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