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CSDA
2007
134views more  CSDA 2007»
13 years 9 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington
IJNSEC
2007
156views more  IJNSEC 2007»
13 years 9 months ago
Another Look at PMAC
We can view an existing Message Authentication Code (MAC) as a Carter-Wegman MAC in spite of the fact it may not have been designed as one. This will make the analysis easier than...
Dayin Wang, Dongdai Lin, Wenling Wu
IJON
2007
99views more  IJON 2007»
13 years 9 months ago
Criticality of avalanche dynamics in adaptive recurrent networks
In many studies of self-organized criticality (SOC), branching processes were used to model the dynamics of the activity of the system during avalanches. This mathematical simpliï...
Anna Levina, Udo Ernst, J. Michael Herrmann
TNN
2008
93views more  TNN 2008»
13 years 9 months ago
Towards the Optimal Design of Numerical Experiments
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
S. Gazut, J.-M. Martinez, Gérard Dreyfus, Y...
TVCG
2008
103views more  TVCG 2008»
13 years 9 months ago
Who Votes For What? A Visual Query Language for Opinion Data
Surveys and opinion polls are extremely popular in the media, especially in the months preceding a general election. However, the available tools for analyzing poll results often r...
Geoffrey M. Draper, Richard F. Riesenfeld