Construction and Methods of Learning of Bayesian Networks

Authors:
P. I. Bidyuk;A. N. Terent'Ev;A. S. Gasanov
Affiliations:
Institute of Applied Systems Analysis, National Technical University "Kiev Polytechnical Institute, ", Kiev, Ukraine;Institute of Applied Systems Analysis, National Technical University "Kiev Polytechnical Institute, ", Kiev, Ukraine;International Scientific and Training Center of Information Technologies and Systems, National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2005

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Abstract

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.