Polynomial expansion of the binary classification function

Statistics – Machine Learning

Scientific paper

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6 pages, 6 figures. Submitted to JMLR, pending decision

Scientific paper

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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