BDUOL: Double Updating Online Learning on a Fixed Budget
Kernel-based online learning often exhibits promising empirical performance for various applications according to previous studies. However, it often suffers a main shortcoming, that is, the unbounded number of support vectors, making it unsuitable for handling large-scale datasets. In this paper, w...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2012
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/2355 https://ink.library.smu.edu.sg/context/sis_research/article/3355/viewcontent/BDUOL_2012_afv.pdf |
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| Institution: | Singapore Management University |
| Language: | English |