Performance considerations for a combined information classification test using Dirichlet priors

Authors
Lynch, RS Willett, PK
Citation
Rs. Lynch et Pk. Willett, Performance considerations for a combined information classification test using Dirichlet priors, IEEE SIGNAL, 47(6), 1999, pp. 1711-1714
Citations number
20
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEEE TRANSACTIONS ON SIGNAL PROCESSING
ISSN journal
1053587X → ACNP
Volume
47
Issue
6
Year of publication
1999
Pages
1711 - 1714
Database
ISI
SICI code
1053-587X(199906)47:6<1711:PCFACI>2.0.ZU;2-V
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. Performance of the CBT is compared with an uncombined maximum likelihood (ML) based test and with the Kolmogorov-S mirnov test.