Open AccessRelative error bounds for statistical classifiers based on the f-divergence
Author(s) -
Markus Nußbaum-Thom,
Eugen Beck,
Tamer Alkhouli,
Ralf Schlüter,
Hermann Ney
Publication year - 2013
Publication title -
interspeech 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.21437/interspeech.2013-518
Subject(s) - perplexity , divergence (linguistics) , upper and lower bounds , language model , bayes error rate , kullback–leibler divergence , computer science , word error rate , prior probability , artificial intelligence , mathematics , distribution (mathematics) , probability distribution , bayes' theorem , algorithm , statistics , bayesian probability , bayes classifier , linguistics , mathematical analysis , philosophy
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