General statistical inference by an approximate application of the maximum entropy principle

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn , Issue , 1999, Pages 112-121

  Yan, Lian ^a   Miller, David J ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; CONSTRAINT THEORY; LEARNING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBABILITY; STATISTICAL METHODS;

BAYESIAN NETWORKS; GREEDY SEARCH TECHNIQUES; MAXIMUM ENTROPY PRINCIPLE; STATISTICAL INFERENCE ENGINE;

INFERENCE ENGINES;

EID: 0033337022     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)