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Polynomial expansion of the binary classification function
Published 26 Mar 2012 in stat.ML | (1203.5647v1)
Abstract: This paper describes a novel method to approximate the polynomial coefficients of regression functions, with particular interest on multi-dimensional classification. The derivation is simple, and offers a fast, robust classification technique that is resistant to over-fitting.
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