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On Some Aspects of the Classification Problem

Hsien Elsa Lin-1976-10-01-University of Minnesota Digital Conservancy (University of Minnesota)

TL;DRAbstract

Different rules for the problem of classifying one (or more) unit to one of several distinct populations on the basis of random training samples are considered and their asymptotic probabilities of misclassification (PMC) are derived.

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Different rules for the problem of classifying one (or more) unit to one of several distinct populations on the basis of random training samples are considered and their asymptotic probabilities of misclassification (PMC) are derived.

Keywords

Basis (linear algebra)MathematicsArtificial intelligenceUnit (ring theory)Computer sciencePattern recognition (psychology)Machine learning

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