منابع مشابه
Belief networks / Bayesian networks
Introduction In modeling real world tasks, one inevitably has to deal with uncertainty. This uncertainty is due to the fact that many facts are unknown and or simply ignored and summarized. Suppose that one morning you find out that your grass is wet. Is it due to rain, or is it due to the sprinkler? If there is no other information, you can only talk in terms of probabilities. In a probabilist...
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Risk identification, impact assessment, and response planning constitute three building blocks of project risk management. Correspondingly, three types of interactions could be envisioned between risks, between impacts of several risks on a portfolio component, and between several responses. While the interdependency of risks is a well-recognized issue, the other two types of interactions remai...
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The maintenance of equipment, machinery and facilities is a vital part of the industrial process and requires millions of man-hours of technician time. A significant portion of this time is devoted to troubleshooingt system malfirnctions. We develop an automated system that uses Bayesian Belief Networks (BBNs) for effective troubleshooting. BBNs are ideal paradigms to represent the causality an...
متن کاملBayesian Belief Networks for Data Mining
In this paper we present a novel constraint based structural learning algorithm for causal networks. A set of conditional independence and dependence statements (CIDS) is derived from the data which describes the relationships among the variables. Although we implicitly assume that there exists a perfect map for the true, yet unknown, distribution , there does not need to be a perfect map for t...
متن کاملRobust learning Bayesian networks for prior belief
Recent reports have described that learning Bayesian networks are highly sensitive to the chosen equivalent sample size (ESS) in the Bayesian Dirichlet equivalence uniform (BDeu). This sensitivity often engenders some unstable or undesirable results. This paper describes some asymptotic analyses of BDeu to explain the reasons for the sensitivity and its effects. Furthermore, this paper presents...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2003
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2003.07.006