NDLI: Detecting rare events using Kullback–Leibler divergence: A weakly supervised approach

Content Provider	Scilit
Author	Xu, Jingxin Denman, Simon Fookes, Clinton Sridharan, Sridha
Copyright Year	2016
Description	Journal: Expert Systems With Applications
Related Links	https://eprints.qut.edu.au/92547/1/paper_12.pdf
Ending Page	28
Page Count	16
Starting Page	13
ISSN	09574174
DOI	10.1016/j.eswa.2016.01.035
Journal	Expert Systems With Applications
Volume Number	54
Language	English
Publisher	Elsevier BV
Publisher Date	2016-07-01
Access Restriction	Open
Subject Keyword	Journal: Expert Systems With Applications Information Systems Event Occurs Approach Leverages Using Kullback Detecting Rare Detect Rare Events
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Engineering Computer Science Applications

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Detecting rare events using Kullback–Leibler divergence: A weakly supervised approach