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» Modeling GA Performance for Control Parameter Optimization
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ICASSP
2011
IEEE
13 years 19 days ago
Maximum margin structure learning of Bayesian network classifiers
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
Franz Pernkop, Michael Wohlmay, Manfred Mücke
IVC
2002
97views more  IVC 2002»
13 years 8 months ago
A neural approach to zoom-lens camera calibration from data with outliers
Camera systems with zoom lenses are inherently more useful than those with passive lenses due to their flexibility and controllability. However, their calibration raises several c...
Moumen T. Ahmed, Aly A. Farag
IMR
2003
Springer
14 years 2 months ago
An Adaptable Surface Parameterization Method
Parameterizations of triangulated surfaces are used in an increasing number of mesh processing applications for various purposes. Although demands vary, they are often required to...
Patrick Degener, Jan Meseth, Reinhard Klein
PIMRC
2008
IEEE
14 years 3 months ago
The Wireless Engset Multi-Rate Loss Model for the Handoff traffic analysis in W-CDMA networks
—The call-level performance modelling and evaluation of 3G cellular networks is important for the proper network dimensioning and efficient use of the network resources, such as ...
Vassilios G. Vassilakis, Michael D. Logothetis
CORR
2004
Springer
218views Education» more  CORR 2004»
13 years 8 months ago
A Dynamic Clustering-Based Markov Model for Web Usage Mining
Markov models have been widely utilized for modelling user web navigation behaviour. In this work we propose a dynamic clustering-based method to increase a Markov model's ac...
José Borges, Mark Levene