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Issue No.08 - August (1978 vol.27)
pp: 746-749
M. Ben-Bassat , USC Center for the Critically Ill, Shock Research Unit
ABSTRACT
The concept of irrelevant features in Bayesian models for pattern recognition is introduced, and its mathematical meaning is explained. A technique for computing the conditional probabilities of irrelevant features, if necessary, is described. The effect of irrelevant features on feature selection in sequential classification is discussed and illustrated.
INDEX TERMS
sequential decision-making systems, Classification, irrelevant features, pattern recognition, probability of error
CITATION
M. Ben-Bassat, "Irrelevant Features in Pattern Recognition", IEEE Transactions on Computers, vol.27, no. 8, pp. 746-749, August 1978, doi:10.1109/TC.1978.1675182
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