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Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region
Meanwhile, by treating the detection power as a reward, its connection with the online combinatorial multi-armed bandit (CMAB) problem is formulated and an adaptive upper confidence region algorithm is proposed for adaptive sampling policy design.
Functional-Edged Network Modeling
Contrasts with existing works which all consider nodes as functions and use edges to represent the relationships between different functions.
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