447 search results - page 3 / 90 » Explaining inferences in Bayesian networks |
COGSCI
2007
13 years 5 months ago
2007
An expression-induction model was used to simulate the evolution of basic color terms to test Berlin and Kay’s (1969) hypothesis that the typological patterns observed in basic ...
PERCOM
2007
ACM
14 years 5 months ago
2007
ACM
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
KDD
2004
ACM
14 years 6 months ago
2004
ACM
PERCOM
2007
ACM
14 years 5 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
ATAL
2008
Springer
2008
Springer
Efficient approximate inference in distributed Bayesian networks for MAS-based sensor interpretation
13 years 7 months ago
The multiply sectioned Bayesian network (MSBN) framework is the most studied approach for distributed Bayesian Network inference in an MAS setting. This paper describes a new fram...