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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… 
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Papers overview

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2020
2020
We present improvements in maximum a-posteriori inference for Markov Logic, a widely used SRL formalism. Several approaches… 
2018
2018
Markov Logic Networks (MLNs) are well-suited for expressing statistics such as "with high probability a smoker knows another… 
2016
2016
Relational logistic regression (RLR) is a representation of conditional probability in terms of weighted formulae for modelling… 
2015
2015
Elementary-level science exams pose significant knowledge acquisition and reasoning challenges for automatic question answering… 
2013
2013
In this paper, we present our on-going work on ProbKB, a PROBabilistic Knowledge Base constructed from web-scale extracted… 
2011
2011
Human robot interaction presents a unique set of challenges for biometric person identification. During normal interactions… 
2010
2010
We consider the problem of discrete multi-label entity classification in images. We argue that the framework of Markov Logic can… 
2009
2009
This dissertation proposes novel algorithms for learning and inference in Markov Logic Networks. Statistical Relational Learning… 
Review
2007
Review
2007
Statistical Relational Learning(SRL) is a highlight in AI research field,and has important applications on many areas,such as…