Hybrid time Bayesian networks

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• 作者：Manxia Liu^a ; ¹ ; ^{m.liu@cs.ru.nl} ; Arjen Hommersom^c ; ^a ; ² ; ^{arjenh@cs.ru.nl} ; Maarten van der Heijden^a ; ² ; ^{m.vanderheijden@cs.ru.nl} ; Peter J.F. Lucas^a ; ^b ; ^{peterl@cs.ru.nl}
• 关键词：Continuous time Bayesian networks ; Dynamic Bayesian networks ; Dynamic systems
• 刊名：International Journal of Approximate Reasoning
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：80
• 期：Complete
• 页码：460-474
• 全文大小：629 K
• 卷排序：80

文摘

Hybrid time Bayesian networks are defined. This new class of models allows reasoning with random variables that evolve regularly or irregularly. A discrete-time characterization of these new models is given. As an application of hybrid time Bayesian networks a medical example is modeled.