Learning the relevant percepts of modular hierarchical Bayesian driver models using a Bayesian information criterion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6777 LNCS, Issue , 2011, Pages 463-472

  Eilers, Mark ^a   Möbus, Claus ^a  

^a UNIVERSITY OF OLDENBURG   (Germany)

Author keywords

Bayesian Autonomous Driver model; Bayesian Information Criterion; Bayesian Real Time Control; Hierarchical Bayesian Models; Machine Learning; Mixture of Behavior model; Probabilistic Driver model

Indexed keywords

BAYESIAN INFORMATION CRITERION; BAYESIAN REAL-TIME-CONTROL; DRIVER MODELS; HIERARCHICAL BAYESIAN MODELS; MACHINE-LEARNING; MIXTURE-OF-BEHAVIOR MODEL;

BAYESIAN NETWORKS; COMPUTATION THEORY; HIERARCHICAL SYSTEMS; INFORMATION USE; RAPID PROTOTYPING;

MATHEMATICAL MODELS;

EID: 79960317333     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21799-9_52     Document Type: Conference Paper

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