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/fe...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2012
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/2402 https://ink.library.smu.edu.sg/context/sis_research/article/3402/viewcontent/OFS.pdf |
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| Institution: | Singapore Management University |
| Language: | English |