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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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Related topics

Related topics

19 relations
Atomic formulaBelief propagationClique (graph theory)Constrained conditional model

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Xeggora: Exploiting Immune-to-Evidence Symmetries with Full Aggregation in Statistical Relational Models (Extended Abstract)
We present improvements in maximum a-posteriori inference for Markov Logic, a widely used SRL formalism. Several approaches… 
2018
2018
Quantified Markov Logic Networks
Markov Logic Networks (MLNs) are well-suited for expressing statistics such as "with high probability a smoker knows another… 
2016
2016
A Learning Algorithm for Relational Logistic Regression: Preliminary Results
Relational logistic regression (RLR) is a representation of conditional probability in terms of weighted formulae for modelling… 
2015
2015
Exploring Markov Logic Networks for Question Answering
Elementary-level science exams pose significant knowledge acquisition and reasoning challenges for automatic question answering… 
2013
2013
Web-Scale Knowledge Inference Using Markov Logic Networks
In this paper, we present our on-going work on ProbKB, a PROBabilistic Knowledge Base constructed from web-scale extracted… 
2011
2011
Multimodal identification using Markov logic networks
Human robot interaction presents a unique set of challenges for biometric person identification. During normal interactions… 
2011
2011
Toward parts-based scene understanding with pixel-support parts-sparse pictorial structures
2010
2010
Relational Learning for Collective Classification of Entities in Images
We consider the problem of discrete multi-label entity classification in images. We argue that the framework of Markov Logic can… 
2009
2009
Integrating Logic and Probability: Algorithmic Improvements in Markov Logic Networks
This dissertation proposes novel algorithms for learning and inference in Markov Logic Networks. Statistical Relational Learning… 
Review
2007
Review
2007
Survey of Markov Logic Networks
Statistical Relational Learning(SRL) is a highlight in AI research field,and has important applications on many areas,such as… 
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