Bayesian networks; a practical guide to applications.9780470060308 Bayesian networks A Bayesian network (or a belief network) is a probabilistic graphical model that represents a set of variables and their probabilistic independencies. For example, a Bayesian network can be used to calculate the probability of a patient having a specific disease, given the ; a practical guide to applications. Ed. by Olivier Pourret et al. John Wiley John Wiley may refer to:
2008 428 pages $110.00 Hardcover Statistics in practice QA279 The term "Bayesian" has become endemic in any field that requires analysis, simulation, prediction, diagnosis or virtually any other range of study that combines elements of artificial intelligence with statistics. The editors and contributors take the wide range of applications in mind as they give researchers and practitioners a solid enough introduction to the concepts behind Bayesian networks to solve practical problems. The provide 20 real life case studies in medicine, computing, natural sciences, engineering and other fields (including such topics as terrorism risk management and improving human cognition Human cognition is the study of how the human brain thinks. As a subject of study, human cognition tends to be more than only theoretical in that its theories lead to working models that demonstrate behavior similar to human thought. ), describe the strengths and weaknesses of Bayesian networks in each, and compare their performance to such modeling techniques as neural networks neural network or neural computing, computer architecture modeled upon the human brain's interconnected system of neurons. Neural networks imitate the brain's ability to sort out patterns and learn from trial and error, discerning and extracting , fuzzy logic fuzzy logic, a multivalued (as opposed to binary) logic developed to deal with imprecise or vague data. Classical logic holds that everything can be expressed in binary terms: 0 or 1, black or white, yes or no; in terms of Boolean algebra, everything is in one set or and fault trees. They also offer comparisons of commercially available software packages, full citations and avenues of future research. This works well as a comprehensive self-study guide as well as a classroom text. ([c]20082005 Book News, Inc., Portland, OR) |
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