نتایج جستجو برای: bayesian sopping rule
تعداد نتایج: 234752 فیلتر نتایج به سال:
We describe our experience building and using a reasoning system for providing context-based prompts to elders to take their medication. We describe the process of specification, design, implementation and use of our system. We chose a simple Dynamic Bayesian Network as our representation. We analyze the design space for the model in some detail. A key challenge in using the model was the overh...
The decision-theoretic rough set model is adopted to derive a profit-based three-way approach to investment decision-making. A three-way decision is made based on a pair of thresholds on conditional probabilities. A positive rule makes a decision of investment, a negative rule makes a decision of noninvestment, and a boundary rule makes a decision of deferment. Both cost functions and revenue f...
In this paper, we propose solutions for learning activitydependent dynamic Bayesian network (DBN) for human activity recognition. As our model is designed to capture the underlying state dependencies among multiple features, a DBN with unique structure and parametrization is learned for each activity to encode its specific state dependencies. To alleviate the common problem of lack of sufficien...
Today multilevel association rule mining is an emerging field in data mining. Its main goal is to find hidden information in or between levels of abstraction. It is mainly used for decision making for large data. It focuses on the customer relationship management. Apriori algorithm is mainly used for the multilevel association rule mining. Producing large number of candidate item sets and multi...
The purpose of the present research is to investigate the effective channels of the monetary transmission mechanism in Iran. To do so, we devised a New Keynesian Dynamic Stochastic General Equilibrium Model. In our model, the different types of nominal rigidities are introduced beside all the related structural equations, which are extracted and linearized around a steady state point. Furthermo...
We present a general framework for representing belief-revision rules and use it to characterize Bayess rule as a classical example and Je¤reys rule as a non-classical one. In Je¤reys rule, the input to a belief revision is not simply the information that some event has occurred, as in Bayess rule, but a new assignment of probabilities to some events. Despite their di¤erences, Bayess and J...
Dempster’s Rule is commonly described as an operator for fusing beliefs. While there are different possible interpretations of belief fusion, there is considerable confusion regarding the exact type of belief fusion that Dempster’s rule performs. Many alternative operators for belief fusion have been proposed, where some are based on the same fundamental principle as Dempster’s rule, and others...
We investigate a monotone link between Bayesian confirmation measures and rule support and confidence. In particular, we prove that two confirmation measures enjoying some desirable properties are monotonically dependent on at least one of the classic dimensions being rule support and confidence. As the confidence measure is unable to identify and eliminate non-interesting rules, for which a pr...
Diagnostic score reports linking assessment outcomes to instructional interventions are one of the most requested features of assessment products. There is a body of interesting work done in the last 20 years including Tatsuoka’s rule space method (Tatsuoka, 1983), Haertal and Wiley’s binary skills model (Haertal, 1984; Haertal & Wiley, 1993), and Mislevy, Almond, Yan, and Steinberg’s Bayesian ...
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