Construction and Methods of Learning of Bayesian Networks

Construction and Methods of Learning of Bayesian Networks

Methods of learning Bayesian networks from databases, basic concepts of Bayesian networks, basic methods of learning, methods of learning parameters, and the structures of a network and hidden parameters are considered. Basic definitions and key concepts with illustrative examples are presented. [PU...

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Veröffentlicht in:Cybernetics and systems analysis 2005-07, Vol.41 (4), p.587-598
Hauptverfasser: Bidyuk, P I, Terent'ev, A N, Gasanov, A S
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Belief networks
Decision making
Probability
Random variables
Studies
Systems analysis
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Zusammenfassung:Methods of learning Bayesian networks from databases, basic concepts of Bayesian networks, basic methods of learning, methods of learning parameters, and the structures of a network and hidden parameters are considered. Basic definitions and key concepts with illustrative examples are presented. [PUBLICATION ABSTRACT]
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-005-0094-8