Irrelevant Features in Pattern Recognition
Ben‐Bassat · IEEE Transactions on Computers · 1978
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.