Computational modelling of probability has become a major part of automated decision support systems. In this book, the principal ideas of probabilistic reasoning - known as Bayesian networks - are outlined and their practical implications illustrated. The book is intended for MSc students in knowledge-based systems, artificial intelligence and statistics, and for professionals in decision support systems applications and research.
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Computational modelling of probability has become a major part of automated decision support systems. In this book, the principal ideas of probabilistic reasoning - known as Bayesian networks - are outlined and their practical implications illustrated. The book is intended for MSc students in knowledge-based systems, artificial intelligence and statistics, and for professionals in decision support systems applications and research.
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Add this copy of Introduction to Bayesian Networks to cart. $123.75, new condition, Sold by GridFreed rated 5.0 out of 5 stars, ships from North Las Vegas, NV, UNITED STATES, published 1997 by Springer.
