NEW DECISION RULES IN STATISTICAL PATTERN RECOGNITION

DOI10.1108/eb005751zbMath0618.62007OpenAlexW2061892271MaRDI QIDQ4727986

Guy Jumaric

Publication date: 1987

Published in: Kybernetes (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/eb005751

zbMATH Keywords

maximum entropy principleweighted entropyrisk functionsremanencecybernetic systemsadaptive and learning systemsBayesian decision classifiersgeneralized decision rulesgeneralized definition of entropymeasuring of entropynew criteria for pattern recognition

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Pattern recognition, speech recognition (68T10) Statistical decision theory (62C99) Statistical aspects of information-theoretic topics (62B10)

Cites Work

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• Probability measures of fuzzy events
• Information Theory and Statistical Mechanics
• Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
• Further advances on the general thermodynamics of open systems via information theory: effective entropy, negative information

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