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

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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書目詳細資料
Main Authors:	ZHANG, Chen, HOI, Steven C. H.
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2019
主題:	Databases and Information Systems Numerical Analysis and Scientific Computing
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
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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