A Tutorial on Support Vector Machines for Pattern
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 separable data working through a non trivial example in detail We describe a mechanical analogy and discuss when SVM solutions are unique and when they are global We describe […]