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Mar, 2024
基于结构的约束学习马尔可夫网络
Structural perspective on constraint-based learning of Markov networks
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Tuukka Korhonen, Fedor V. Fomin, Pekka Parviainen
TL;DR
用约束条件的结构学习方法学习马尔可夫网络的理论限制与性能逐渐变好,并且对条件独立性测试的集合大小和测试数量进行了研究。
Abstract
markov networks
are probabilistic graphical models that employ undirected graphs to depict conditional independence relationships among variables. Our focus lies in
constraint-based structure learning
, which enta
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