3076 search results - page 41 / 616 » Active Learning for Networked Data |
146
Voted
GECCO
2008
Springer
15 years 4 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
133
Voted
LCN
1998
IEEE
15 years 7 months ago
1998
IEEE
Active networks allow code to be loaded dynamically into network nodes at run-time. This code can perform tasks specific to a stream of packets or even a single packet. In this pa...
159
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IFIP12
2008
15 years 5 months ago
2008
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
129
Voted
HUC
2010
Springer
15 years 2 months ago
2010
Springer
Even though the coordination of kids’ activities is largely successful, the modern dual income family still regularly experiences breakdowns in their practices. Families often r...
117
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
We compare the practical performance of several recently proposed algorithms for active learning in the online classification setting. We consider two active learning algorithms (...