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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 formula
Belief propagation
Clique (graph theory)
Constrained conditional model
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Online probabilistic theory revision from examples with ProPPR
Victor Guimarães
,
Aline Paes
,
Gerson Zaverucha
Machine-mediated learning
2019
Corpus ID: 153314697
Handling relational data streams has become a crucial task, given the availability of pervasive sensors and Internet-produced…
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2018
2018
Structure Learning for Markov Logic Networks
Tuyen N. Huynh
,
R. Mooney
2018
Corpus ID: 3629999
Most existing learning methods for Markov Logic Networks (MLNs) use batch training, which becomes computationally expensive and…
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2016
2016
A Learning Algorithm for Relational Logistic Regression: Preliminary Results
Bahare Fatemi
,
Seyed Mehran Kazemi
,
D. Poole
arXiv.org
2016
Corpus ID: 7938365
Relational logistic regression (RLR) is a representation of conditional probability in terms of weighted formulae for modelling…
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2012
2012
Aggregation and Population Growth: The Relational Logistic Regression and Markov Logic Cases
D. Poole
,
David Buchman
,
Sriraam Natarajan
,
K. Kersting
StarAI@UAI
2012
Corpus ID: 18940264
This paper considers how relational probabilistic models adapt to population size. First we show that what are arbitrary choices…
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2011
2011
Research on Markov Logic Networks
Xu Cong
2011
Corpus ID: 63962348
Markov logic networks(MLNs) is a statistical relational learning(SRL) model,which combines Markov network and first order logic…
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2010
2010
Structure learning in markov logic networks
Pedro M. Domingos
,
Stanley Kok
2010
Corpus ID: 124768159
Markov logic networks (MLNs) [86, 24] are a powerful representation combining first-order logic and probability. An MLN attaches…
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2009
2009
Integrating Logic and Probability: Algorithmic Improvements in Markov Logic Networks
M. Biba
2009
Corpus ID: 124259522
This dissertation proposes novel algorithms for learning and inference in Markov Logic Networks. Statistical Relational Learning…
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2009
2009
Modelling (Bio)Logical Sequences through Markov Logic Networks
M. Biba
,
S. Ferilli
,
F. Esposito
2009
Corpus ID: 17957495
Markov Logic Networks are a powerful representation that combines first-order logic and probability by attaching weights to first…
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Review
2007
Review
2007
Survey of Markov Logic Networks
Huang Guan-li
2007
Corpus ID: 56900405
Statistical Relational Learning(SRL) is a highlight in AI research field,and has important applications on many areas,such as…
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Review
2007
Review
2007
The Alchemy Tutorial
M. Domingos
2007
Corpus ID: 6147061
Alchemy is a software tool designed for a wide range of users. Anyone with a need for a knowledge base with uncertainty will find…
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