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» Bottom-up learning of Markov logic network structure
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ML
2006
ACM
131views Machine Learning» more  ML 2006»
14 years 11 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
111
Voted
ECAI
2010
Springer
14 years 9 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
PKDD
2009
Springer
112views Data Mining» more  PKDD 2009»
15 years 6 months ago
Max-Margin Weight Learning for Markov Logic Networks
Tuyen N. Huynh, Raymond J. Mooney
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
14 years 9 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis