detection of oil-water contacts (owcs) is one of the primary tasks before evaluation of reservoir’s hydrocarbon in place, determining net pay zones and suitable depths for perforation operation. this paper introduces bayesian decision making tool as an effective technique in owc detecting using wire line logs. to compare strengths of the suggested method in detecting owc with conventional one, ...

The interactions among peers in Peer-to-Peer systems as a distributed collaborative system are based on asynchronous and unreliable communications. Trust is an essential and facilitating component in these interactions specially in such uncertain environments. Various attacks are possible due to large-scale nature and openness of these systems that affects the trust. Peers has not enough inform...

    Background: Use of methamphetamine (MA) and other stimulants has increased steadily over the past 10 years. Risk factor evaluation to reduce the problem in the community is one solution to protect people from addiction. This study aimed at using Bayesian zero- inflated Poisson (ZIP) model to investigate the relationship between the number of using crystal meth and some demogr...

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Modeling and predicting student knowledge is a fundamental task of an intelligent tutoring system. A popular approach for student modeling is Bayesian Knowledge Tracing (BKT). BKT models, however, lack the ability to describe the hierarchy and relationships between the different skills of a learning domain. In this work, we therefore aim at increasing the representational power of the student m...

This paper presents preliminary research aiming to understand the semantics of bird songs. We investigate relationship between context information and bird song output using dynamic Bayesian networks, and show the potential of our approach for semantics inference.