61 search results - page 1 / 13 » Discriminative structure and parameter learning for Markov l... |
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
ICMLA
2010
13 years 2 months ago
2010
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
ECAI
2010
Springer
13 years 1 months ago
2010
Springer
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...