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Dependency network (graphical model)
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<p>Dependency networks (DNs) are <a href="/facts/Graphical_model/XxfmKhmM">graphical models</a>, similar to <a href="/facts/Markov_network/DJazwaeP">Markov networks</a>, wherein each vertex (node) corresponds to a random variable and each edge captures dependencies among variables. Unlike <a href="/facts/Bayesian_network/Ry31vq6T">Bayesian networks</a>, DNs may contain cycles. Each node is associated to a conditional probability table, which determines the realization of the random variable given its parents. </p>