994 search results - page 125 / 199 » Modeling and Inference with Relational Dynamic Bayesian Netw... |
119
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ICANN
2009
Springer
15 years 6 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
111
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ML
2008
ACM
15 years 1 months ago
2008
ACM
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
150
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BMCBI
2010
14 years 8 months ago
2010
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...
125
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DBSEC
2006
15 years 2 months ago
2006
Abstract. Attack graph is important in defending against well-orchestrated network intrusions. However, the current analysis of attack graphs requires an algorithm to be developed ...
PSIVT
2007
Springer
15 years 7 months ago
2007
Springer
This paper considers the problem of Bayesian inference in dynamical models with time-varying dimension. These models have been studied in the context of multiple target tracking pr...