150 search results - page 6 / 30 » Modelling Multiagent Bayesian Networks with Inclusion Depend... |
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Recent studies have shown that various models can explain the emergence of complex networks, such as scale-free and small-world networks. This paper presents a different model to...
ATAL
2003
Springer
14 years 21 days ago
2003
Springer
In complex distributed applications, a problem is often decomposed into a set of subproblems that are distributed to multiple agents. We formulate this class of problems with a tw...
LION
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
CSL
2007
Springer
13 years 7 months ago
2007
Springer
This paper describes the use of dynamic Bayesian networks for the task of articulatory feature recognition. We show that by modeling the dependencies between a set of 6 multi-leve...
PE
2010
Springer
13 years 5 months ago
2010
Springer
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...