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Binary Classification Based on Potentials
Published 16 Dec 2008 in cs.LG | (0812.3145v2)
Abstract: We introduce a simple and computationally trivial method for binary classification based on the evaluation of potential functions. We demonstrate that despite the conceptual and computational simplicity of the method its performance can match or exceed that of standard Support Vector Machine methods.
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