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A Note on Structural Extensions of SVMs

By Mark Schmidt


This document is intended as an introduction to structural extensions of support vector machines for those who are familiar with logistic regression (binary and multinomial) and discrete-state probabilistic graphical models (in particular, conditional random fields). No prior knowledge about support vector machines is assumed. The outline is as follow

Year: 2009
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