Innovations in Bayesian Networks
Theory and Applications
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Beschreibung
Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained.
Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Graduate students since it shows the direction of current research.
Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained.
Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Graduate students since it shows the direction of current research.
Presents the innovative paradigms related to the theory and practical applications of Bayesian Networks
Autor*in
Dawn E. Holmes
Themen in »Innovations in Bayesian Networks«
Bayesian Networks Bayesian network Learning Bayesian networks Topologie artificial intelligence computational intelligence intelligence learning modeling statistics system modeling