1649 search results - page 90 / 330 » On-Line Change Mechanisms |
326
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DAGM
2011
Springer
14 years 6 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
326
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SIGCOMM
2012
ACM
13 years 8 months ago
2012
ACM
ions for Network Update Mark Reitblatt Cornell Nate Foster Cornell Jennifer Rexford Princeton Cole Schlesinger Princeton David Walker Princeton Configuration changes are a common...
154
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WWW
2007
ACM
16 years 6 months ago
2007
ACM
Web processes must often operate in volatile environments where the quality of service parameters of the participating service providers change during the life time of the process...
162
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ASPLOS
2009
ACM
15 years 10 months ago
2009
ACM
Software systems are constantly changing. Patches to fix bugs and patches to add features are all too common. Every change risks breaking a previously working system. Hence admini...
135
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PRIMA
2009
Springer
16 years 20 days ago
2009
Springer
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...