151 search results - page 14 / 31 » Optimized Approximation Algorithm in Neural Networks Without... |
115
Voted
IWANN
1999
Springer
15 years 6 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
133
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ICASSP
2009
IEEE
15 years 8 months ago
2009
IEEE
This paper introduces an algorithm to approximately find optimal wireless networks in presence of fading. Joint optimization of application level rates, routes, link capacities, ...
ICANN
2005
Springer
15 years 7 months ago
2005
Springer
We describe a kernel method which uses the maximization of Onicescu’s informational energy as a criteria for computing the relevances of input features. This adaptive relevance d...
152
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ML
1998
ACM
15 years 1 months ago
1998
ACM
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
235
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ICDE
2006
IEEE
16 years 3 months ago
2006
IEEE
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...