Online feature selection for mining big data
Most studies of online learning require accessing all the attributes/ features of training instances. Such a classical setting is not always appropriate for real-world applications when data instances are of high dimensionality or the access to it is expensive to acquire the full set of attributes/f...
Main Authors: | Hoi, Steven C. H., Wang, Jialei., Zhao, Peilin., Jin, Rong. |
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Other Authors: | School of Computer Engineering |
Format: | Conference Paper |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/98983 http://hdl.handle.net/10220/12629 |
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