Konu "Bayesian networks" için listeleme
Toplam kayıt 7, listelenen: 1-7
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Cluster based sensor scheduling in a target tracking application with particle filtering
(IEEE, 2007)In multi-sensor applications management of sensors is necessary for the classification of data they produce and for the efficient use of sensors as well. One of the important aspects in sensor management is the sensor ... -
Cost-effective fault diagnosis of a multi-component dynamic system under corrective maintenance
(Elsevier Ltd, 2021-04)Maintenance planning and execution are challenging tasks for every system with complex structure. Interdependent nature of the components that builds up the system may have significant effect on system integrity. While ... -
Evaluation of proactive maintenance policies on a stochastically dependent hidden multi-component system using DBNs
(Elsevier Ltd, 2021-07)In complex systems with stochastically dependent components which are not observed directly, determining an effective maintenance policy is a difficult task. In this paper, a dynamic Bayesian network based maintenance ... -
Mixture of Gaussian models and bayes error under differential privacy
(2011)Gaussian mixture models are an important tool in Bayesian decision theory. In this study, we focus on building such models over statistical database protected under differential privacy. Our approach involves querying ... -
Parçacık süzgeçleme ile hedef izleme uygulamasında topak çizelgeleme
(IEEE, 2007)Bu çalışmada, uzaklık ölçer algılayıcılarla hedef takibi uygulamasında algılayıcı çizelgeleme problemi ele alınmıştır. Çok algılayıcılı uygulamalarda algılayıcıların yönetimi ürettikleri verilerin sınıflandırılması için ... -
A sequential Monte Carlo method for blind phase noise estimation and data detection
(IEEE, 2005)In this paper, a computationally efficient algorithm is presented for blind phase noise estimation and data detection jointly, based on a sequential Monte Carlo method. The basic idea is to treat the transmitted symbols ... -
Software defect prediction using Bayesian networks
(Springer, 2014-02)There are lots of different software metrics discovered and used for defect prediction in the literature. Instead of dealing with so many metrics, it would be practical and easy if we could determine the set of metrics ...