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Markov logic network

Known as: MLN (disambiguation), Markov logic, Markov logic networks 
A Markov logic network (MLN) is a probabilistic logic which applies the ideas of a Markov network to first-order logic, enabling uncertain inference… Expand
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Papers overview

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Highly Cited
2011
Highly Cited
2011
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been… Expand
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Highly Cited
2009
Highly Cited
2009
Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this… Expand
Highly Cited
2008
Highly Cited
2008
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty… Expand
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Highly Cited
2008
Highly Cited
2008
We address the problem of visual event recognition in surveillance where noise and missing observations are serious problems… Expand
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Highly Cited
2008
Highly Cited
2008
Markov logic networks (MLNs) are an expressive representation for statistical relational learning that generalizes both first… Expand
Highly Cited
2007
Highly Cited
2007
Markov logic networks (MLNs) combine Markov networks and first-order logic, and are a powerful and increasingly popular… Expand
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Highly Cited
2006
Highly Cited
2006
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A… Expand
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Highly Cited
2006
Highly Cited
2006
Entity resolution is the problem of determining which records in a database refer to the same entities, and is a crucial and… Expand
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Highly Cited
2005
Highly Cited
2005
Many machine learning applications require a combination of probability and first-order logic. Markov logic networks (MLNs… Expand
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Highly Cited
2005
Highly Cited
2005
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as… Expand
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