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Markov Logic Networks
description27 papers
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lightbulbAbout this topic
Markov Logic Networks (MLNs) are a probabilistic graphical model that combines first-order logic and Markov networks. They represent a set of weighted first-order logic formulas, allowing for the representation of complex relational structures and uncertainty in a unified framework, facilitating reasoning and inference in domains with incomplete or uncertain information.
lightbulbAbout this topic
Markov Logic Networks (MLNs) are a probabilistic graphical model that combines first-order logic and Markov networks. They represent a set of weighted first-order logic formulas, allowing for the representation of complex relational structures and uncertainty in a unified framework, facilitating reasoning and inference in domains with incomplete or uncertain information.