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146
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TSP
2008
15 years 4 months ago
2008
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
138
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COMSWARE
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract— Scalable network localization is key for realizing ad-hoc networks. In this paper we propose a localization scheme where nodes form a relative coordinate system of the ...
148
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NPL
1998
15 years 3 months ago
1998
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
131
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ICCAD
2000
IEEE
15 years 8 months ago
2000
IEEE
In this paper, we present simulation techniques to estimate the worst-case voltage variation using a RC model for the power distribution network. Pattern independent maximum envel...
137
Voted
NN
1997
Springer
15 years 8 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...