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August 1978 (vol. 27 no. 8)
pp. 746-749
M. Ben-Bassat, USC Center for the Critically Ill, Shock Research Unit
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, Aug. 1978, doi:10.1109/TC.1978.1675182
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