Cost sensitive online multiple kernel classification
Learning from data streams has been an important open research problem in the era of big data analytics. This paper investigates supervised machine learning techniques for mining data streams with application to online anomaly detection. Unlike conventional machine learning tasks, machine learning f...
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Main Authors: | , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2016
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Online Access: | https://ink.library.smu.edu.sg/sis_research/3442 https://ink.library.smu.edu.sg/context/sis_research/article/4443/viewcontent/Cost_sensitive_online_multiple_kernel_classification.pdf |
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Institution: | Singapore Management University |
Language: | English |