Partially observable multi-sensor sequential change detection: A combinatorial multi-armed bandit approach

This paper explores machine learning to address a problem of Partially Observable Multi-sensor Sequential Change Detection (POMSCD), where only a subset of sensors can be observed to monitor a target system for change-point detection at each online learning round. In contrast to traditional Multisen...

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Main Authors: ZHANG, Chen, HOI, Steven C. H.
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2019
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/5104
https://ink.library.smu.edu.sg/context/sis_research/article/6107/viewcontent/4519_Article_Text_7558_1_10_20190706_pv_oa.pdf
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機構: Singapore Management University
語言: English