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Active Learning and Best-Response Dynamics
[article]
2014
arXiv
pre-print
We examine an important setting for engineered systems in which low-power distributed sensors are each making highly noisy measurements of some unknown target function. A center wants to accurately learn this function by querying a small number of sensors, which ordinarily would be impossible due to the high noise rate. The question we address is whether local communication among sensors, together with natural best-response dynamics in an appropriately-defined game, can denoise the system
arXiv:1406.6633v1
fatcat:nnrxkqjryzgbzjjz7oevtcfemq