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2篇 您的检索式：作者名="Afif MASMOUDI"

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		题名	作者	年代	出处	被引量
	1	A COMPOUND POISSON MODEL FOR LEARNING DISCRETE BAYESIAN NETWORKS显示文摘We introduce here the concept of Bayesian networks,in compound Poisson model,which provides a graphical modeling framework that encodes the joint probability distribution for a set of random variables within a directed acyclic graph.We suggest an approach proposal which ofers a new mixed implicit estimator.We show that the implicit approach applied in compound Poisson model is very attractive for its ability to understand data and does not require any prior information.A comparative study between learned estimates given by implicit and by standard Bayesian approaches is established.Under some conditions and based on minimal squared error calculations,we show that the mixed implicit estimator is better than the standard Bayesian and the maximum likelihood estimators.We illustrate our approach by considering a simulation study in the context of mobile communication networks.	Abdelaziz GHRIBI Afif MASMOUDI	2013	Acta Mathematica Scientia2013，33，6：	2
	2	Improving algorithms for structure learning in Bayesian Networks u- sing a new implicit score显示文摘	Bouchaala Lobna Masmoudi Afif Gargouri Faiez	2010	Expert Systems with Applications2010，37，：	1

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