Irrelevant Features in Pattern Recognition | IEEE Journals & Magazine | IEEE Xplore

Irrelevant Features in Pattern Recognition

Publisher: IEEE

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 cond...View more

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.
Published in: IEEE Transactions on Computers ( Volume: C-27, Issue: 8, August 1978)
Page(s): 746 - 749
Date of Publication: 31 August 1978

ISSN Information:

Publisher: IEEE

References

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