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… (More)
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Highly Cited
2010
Highly Cited
2010
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can… (More)
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Highly Cited
2009
Highly Cited
2009
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as… (More)
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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… (More)
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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… (More)
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Highly Cited
2007
Highly Cited
2007
Markov logic networks (MLNs) combine Markov networks and first-order logic, and are a powerful and increasingly popular… (More)
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Highly Cited
2007
Highly Cited
2007
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes… (More)
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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… (More)
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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… (More)
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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… (More)
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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… (More)
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