352 search results - page 9 / 71 » An Extension of the Differential Approach for Bayesian Netwo... |
IJAR
2008
13 years 8 months ago
2008
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...
LION
2009
Springer
14 years 3 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...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
In this paper, we report on an interactive system and the results ofa formal user study that was carried out with the aim of comparing two approaches to estimating users' int...
NIPS
2007
13 years 10 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
BMCBI
2010
13 years 8 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...