Issue No.08 - August (1978 vol.27)
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.
sequential decision-making systems, Classification, irrelevant features, pattern recognition, probability of error
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