791 search results - page 9 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
ICLP
2009
Springer
14 years 9 months ago
2009
Springer
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
HPCC
2007
Springer
14 years 3 months ago
2007
Springer
An ontology for Semantic Web Services is proposed in this paper, whose intention is to enrich Web Services description. Distinguish from the existing ontologies, the proposed ontol...
KI
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
NN
1997
Springer
14 years 1 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...