No-regret Algorithms for Capturing Events in Poisson Point Processes
Mojmír Mutn 1 Andreas Krause 1
Abstract over the sensed domain. In particular, we assume the rate
Inhomogeneous Poisson point processes are function can be modeled as a member of a reproducing
widely used models of event occurrences. We kernel Hilbert space (RKHS) with a known kernel k.
address adaptive sensing of Poisson Point pro- As a runnin ...


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