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- W2133614321 abstract "We consider a decentralized sequential detection problem with a set of sensors and a fusion center. Each sensor receives information from inputs and possibly other sensors at discrete times and transmits summary information to a fusion center which processes the summary information by performing a sequential test to make a decision on one of two hypotheses. The work discussed differs from previous work by Veervalli, Basar and Poor (1993) in that the conditional densities given each hypothesis are unknown. Information about making good decisions is learned from observing real data and employing reinforcement learning procedures." @default.
- W2133614321 created "2016-06-24" @default.
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- W2133614321 date "2002-11-22" @default.
- W2133614321 modified "2023-09-24" @default.
- W2133614321 title "Nonparametric decentralized sequential detection" @default.
- W2133614321 cites W2100677568 @default.
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- W2133614321 doi "https://doi.org/10.1109/isit.1997.613465" @default.
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