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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Bibliographic Details
Main Authors: SAHOO, Doyen, ZHAO, Peilin, HOI, Steven C. H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
Subjects:
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