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. $30.04, very good condition, Sold by ThriftBooks-Baltimore rated 5.0 out of 5 stars, ships from Halethorpe, MD, UNITED STATES, published 1997 by Springer.
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Good/No Jacket. 0387915028 Ex-Library Ex-library with the usual features. The pages are clean and tight. Binding is good. Cover shows light wear. 3 1/2 inch disk included.
Add this copy of Introduction to Bayesian Networks to cart. $67.53, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 1997 by Springer.
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