Generation of Polynomial Discriminant Functions for Pattern Recognition

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Summary

The method is based on nonparametric estimation of a probability density function for each category to be classified so that the Bayes decision rule can be used for classification and has good extrapolating ability even when the number of training patterns is quite small.

Type
article
Published
1967-06-01
Cited by
260
References
7

Keywords

Nonparametric statistics, Polynomial, Discriminant, Pattern recognition (psychology), Decision rule

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