Sciweavers

123 search results - page 3 / 25
» Learning the structure of Markov logic networks
Sort
View
ECML
2006
Springer
13 years 8 months ago
Bayesian Learning of Markov Network Structure
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
Aleks Jakulin, Irina Rish
AAAI
2006
13 years 6 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...
ML
2006
ACM
131views Machine Learning» more  ML 2006»
13 years 4 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
ECAI
2010
Springer
13 years 2 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»
13 years 11 months ago
Max-Margin Weight Learning for Markov Logic Networks
Tuyen N. Huynh, Raymond J. Mooney