Bayesian networks are now being used in a variety of artificial
intelligence applications. These networks are high-level
representations of probability distributions over a set of
variables that are used for building a model of the problem domain.
""Bayesian Network Technologies: Applications and Graphical
Models"" provides an excellent and well-balanced collection of
areas where Bayesian networks have been successfully applied. This
book describes the underlying concepts of Bayesian Networks in an
interesting manner with the help of diverse applications, and
theories that prove Bayesian networks valid. ""Bayesian Network
Technologies: Applications and Graphical Models"" provides specific
examples of how Bayesian networks are powerful machine learning
tools critical in solving real-life problems.
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