1521 search results - page 87 / 305 » A learning model for oscillatory networks |
166
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CDC
2010
IEEE
15 years 1 months ago
2010
IEEE
We present an on-line crosslayer control technique to characterize and approximate optimal policies for wireless networks. Our approach combines network utility maximization and ad...
159
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IUI
1999
ACM
15 years 10 months ago
1999
ACM
er has outlined the potential of multiagent framework for decision support. From an abstract point of view, the concept of an agent has been used as modularization principle for th...
162
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ECML
2007
Springer
16 years 18 days ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
198
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ICPR
2002
IEEE
16 years 7 months ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
186
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ICANN
2005
Springer
15 years 12 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...