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FUIN
2010
94views more  FUIN 2010»
13 years 6 months ago
A Framework for Iterated Belief Revision Using Possibilistic Counterparts to Jeffrey's Rule
Intelligent agents require methods to revise their epistemic state as they acquire new information. Jeffrey’s rule, which extends conditioning to probabilistic inputs, is appropr...
Salem Benferhat, Didier Dubois, Henri Prade, Mary-...
SIGIR
1999
ACM
14 years 6 days ago
Using a Belief Revision Operator for Document Ranking in Extended Boolean Models
This paper claims that Belief Revision can be seen as a theoretical framework for document ranking in Extended Boolean Models. For a model of Information Retrieval based on propos...
David E. Losada, Alvaro Barreiro
ICML
1997
IEEE
14 years 8 months ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
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...
Nir Friedman
AAAI
2010
13 years 9 months ago
Efficient Belief Propagation for Utility Maximization and Repeated Inference
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...
Aniruddh Nath, Pedro Domingos
DLOG
2008
13 years 10 months ago
A Survey of Revision Approaches in Description Logics
Abstract. Revision of a Description Logic-based ontology to incorporate newly received information consistently is an important problem for the lifecycle of ontologies. Many approa...
Guilin Qi, Fangkai Yang