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: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2019
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| Subjects: | |
| Online Access: | 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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| Institution: | Singapore Management University |
| Language: | English |