Optimal classifiers with minimum expected error within a Bayesian framework—Part I: Discrete and Gaussian models-Reference-Cited by-同舟云学术

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Optimal classifiers with minimum expected error within a Bayesian framework—Part I: Discrete and Gaussian models

Published:2013-05 Issue:5 Volume:46 Page:1301-1314
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Dalton Lori A.,Dougherty Edward R.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference26 articles.

1. Pattern Classification;Duda,2001

2. A Probabilistic Theory of Pattern Recognition;Devroye,1996

3. The illusion of distribution-free small-sample classification in genomics;Dougherty;Current Genomics,2011

4. Additive estimators for probabilities of correct classification;Glick;Pattern Recognition,1978

5. Is cross-validation valid for small-sample microarray classification;Braga-Neto;Bioinformatics,2004

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