Learning properties of Support Vector Machines

Details Learning properties of Support Vector Machines Learning properties of Support Vector Machines

1998-02-17

arxiv.org/abs/cond-mat/9802179v1

Physics

Condensed Matter

Disordered Systems and Neural Networks

4 pages Latex

Scientific paper

We study the typical learning properties of the recently proposed Support Vectors Machines. The generalization error on linearly separable tasks, the capacity, the typical number of Support Vectors, the margin, and the robustness or noise tolerance of a class of Support Vector Machines are determined in the framework of Statistical Mechanics. The robustness is shown to be closely related to the generalization properties of these machines.

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