A belief networks-based generative model for structured documents. An application to the XML categorization

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2734, Issue , 2003, Pages 328-342

  Denoyer, Ludovic ^a   Gallinari, Patrick ^a  

^a UNIVERSITÉ PIERRE ET MARIE CURIE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATABASE SYSTEMS; INFORMATION RETRIEVAL; LEARNING SYSTEMS; RESEARCH; TELECOMMUNICATION NETWORKS; BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); DATA MINING; INFORMATION RETRIEVAL SYSTEMS; PATTERN RECOGNITION; XML;

BELIEF NETWORKS; ELECTRONIC DOCUMENTS; STRUCTURED DOCUMENTS; WEB RESOURCES; BAYESIAN MODEL; CONTENT INFORMATION; GENERATIVE MODEL; MACHINE LEARNING APPROACHES; MODEL PARAMETERS; MODELING OF STRUCTURED; STRUCTURAL INFORMATION; STRUCTURED DOCUMENT;

XML; LEARNING SYSTEMS;

EID: 8344221265     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/3-540-45065-3_29     Document Type: Conference Paper

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