DocumentCode
1509617
Title
Performance considerations for a combined information classification test using Dirichlet priors
Author
Lynch, Robert S. ; Willett, Jr Peter K
Author_Institution
Naval Undersea Warfare Center, Newport, RI, USA
Volume
47
Issue
6
fYear
1999
fDate
6/1/1999 12:00:00 AM
Firstpage
1711
Lastpage
1714
Abstract
The average probability of error is used to demonstrate performance of the combined Bayes test (CBT), which assumes a uniform Dirichlet prior for the symbol probabilities of each class. The performance of the CBT is compared with an uncombined maximum likelihood (ML) based test and with the Kolmogorov-Smirnov test
Keywords
Bayes methods; error statistics; pattern classification; Dirichlet priors; Kolmogorov-Smirnov test; average error probability; combined Bayes test; combined information classification test; performance; symbol probabilities; uncombined maximum likelihood based test; uniform Dirichlet prior; Bayesian methods; Encoding; Laboratories; Performance evaluation; Probability; Quantization; Statistics; Testing; Training data;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.765145
Filename
765145
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