RIVERSIDE A Continuous Time Bayesian Network
نویسندگان
چکیده
OF THE DISSERTATION A Continuous Time Bayesian Network Approach for Intrusion Detection
منابع مشابه
Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications
OF THE DISSERTATION Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications by Emine Busra Celikkaya Doctor of Philosophy, Graduate Program in Computer Science University of California, Riverside, March 2016 Dr. Christian R. Shelton, Chairperson Temporal modeling of real-life systems, such as social networks, financial markets and medical decis...
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Continuous time Bayesian network classifiers are designed for analyzing multivariate streaming data when time duration of events matters. New continuous time Bayesian network classifiers are introduced while their conditional log-likelihood scoring function is developed. A learning algorithm, combining conditional log-likelihood with Bayesian parameter estimation is developed. Classification ac...
متن کاملA Continuous Time Bayesian Network Approach for Intrusion Detection
OF THE DISSERTATION A Continuous Time Bayesian Network Approach for Intrusion Detection
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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...
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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...
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