791 search results - page 22 / 159 » Learning Probabilistic Ontologies with Distributed Parameter... |
KCAP
2005
ACM
14 years 2 months ago
2005
ACM
In this document, we describe a light-weighted ontology mediation method that allows users to send semantic queries to distant data repositories to browse for learning object meta...
ICML
1997
IEEE
14 years 9 months ago
1997
IEEE
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
SEMWEB
2005
Springer
14 years 2 months ago
2005
Springer
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
CEC
2003
IEEE
14 years 17 days ago
2003
IEEE
- As an alternative to traditional Evolutionary Algorithms (EAs), Population-Based Incremental Learning (PBIL) maintains a probabilistic model of the best individual(s). Originally...
CEC
2009
IEEE
14 years 3 months ago
2009
IEEE
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...