Toward deep supervised anomaly detection: Reinforcement learning from partially labeled anomaly data

We consider the problem of anomaly detection with a small set of partially labeled anomaly examples and a large-scale unlabeled dataset. This is a common scenario in many important applications. Existing related methods either exclusively fit the limited anomaly examples that typically do not span t...

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Bibliographic Details
Main Authors: PANG, Guansong, HENGEL, Anton Van Den, SHEN, Chunhua, CAO, Longbing
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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Online Access:https://ink.library.smu.edu.sg/sis_research/7055
https://ink.library.smu.edu.sg/context/sis_research/article/8058/viewcontent/3447548.3467417.pdf
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Institution: Singapore Management University
Language: English
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