Note on Optimal Selection of Independent Binary-Valued Features for Pattern Recognition

Godfried T. Toussaint

doi:10.1109/TIT.1971.1054685

Note on Optimal Selection of Independent Binary-Valued Features for Pattern Recognition

Godfried T. Toussaint

Computer Science

Research output: Contribution to journal › Article › peer-review

Abstract

Given a set of conditionally independent binary-valued features, a counter example is given to a possible claim that the best subset of features must contain the best single feature.

Original language	English (US)
Pages (from-to)	618
Number of pages	1
Journal	IEEE Transactions on Information Theory
Volume	17
Issue number	5
DOIs	https://doi.org/10.1109/TIT.1971.1054685
State	Published - Sep 1971

ASJC Scopus subject areas

Information Systems
Computer Science Applications
Library and Information Sciences

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10.1109/TIT.1971.1054685

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Note on Optimal Selection of Independent Binary-Valued Features for Pattern Recognition

Abstract

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