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شبکه بیزی پویا×شبکه بیزی×
حوزهبیزیبیزی
خانوادهBayesian methodsBayesian methods
سال پیدایش19891988
پدیدآورThomas Dean & Keiji KanazawaJudea Pearl
نوعprobabilistic graphical model for sequencesProbabilistic graphical model
منبع بنیادینDean, T. & Kanazawa, K. (1989). A model for reasoning about persistence and causation. Computational Intelligence, 5(3), 142–150. DOI ↗Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann. ISBN: 978-1558604797
نام‌های دیگرDBN, temporal Bayesian network, dynamic probabilistic graphical model, two-slice temporal Bayesian networkBayes network, belief network, probabilistic graphical model, directed graphical model
مرتبط54
خلاصهA Dynamic Bayesian Network (DBN) extends a standard Bayesian network over time by representing how a set of random variables evolve across discrete time steps. It captures both the conditional independence structure among variables at each instant and the probabilistic dependencies between consecutive time slices, enabling principled reasoning about temporal processes under uncertainty.A Bayesian network is a probabilistic graphical model, introduced by Judea Pearl in 1988, that encodes a set of variables and their conditional dependencies as a directed acyclic graph (DAG). Each node represents a variable; each directed edge encodes a direct probabilistic influence. By combining Bayes' rule with the graph's conditional independence structure, the model supports reasoning under uncertainty — computing the probability of any variable given observed evidence about others.
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ScholarGateمقایسهٔ روش‌ها: Dynamic Bayesian Network · Bayesian Network. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare