1863 search results - page 233 / 373 » Multiagent learning using a variable learning rate |
213
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RECOMB
2004
Springer
16 years 5 months ago
2004
Springer
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
170
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ICA
2010
Springer
15 years 6 months ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
155
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KDD
2004
ACM
16 years 5 months ago
2004
ACM
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
137
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ATAL
2009
Springer
15 years 11 months ago
2009
Springer
Certain observable features (tags), shared by a group of similar agents, can be used to signal intentions and can be effectively used to infer unobservable properties. Such infere...
160
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ATAL
2007
Springer
15 years 11 months ago
2007
Springer
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...