1742 search results - page 140 / 349 » A Framework for Network Modeling in Prolog |
167
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JMLR
2010
14 years 11 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
162
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INFOCOM
2011
IEEE
14 years 8 months ago
2011
IEEE
—Spectrum sharing systems such as cognitive radio networks have drawn much attention recently due to their potential to resolve the conflict between increasing demand for spectr...
127
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GECCO
2005
Springer
15 years 10 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
196
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INFOCOM
2012
IEEE
13 years 6 months ago
2012
IEEE
Abstract—In this paper, we investigate the problem of controlling node sleep intervals so as to achieve the min-max energy fairness in asynchronous duty-cycling sensor networks. ...
136
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KDD
2003
ACM
16 years 4 months ago
2003
ACM
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...