Online sparse passive aggressive learning with kernels
Conventional online kernel methods often yield an unboundedlarge number of support vectors, making them inefficient and non-scalable forlarge-scale applications. Recent studies on bounded kernel-based onlinelearning have attempted to overcome this shortcoming. Although they can boundthe number of su...
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Main Authors: | LU, Jing, ZHAO, Peilin, HOI, Steven C. H. |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2016
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Online Access: | https://ink.library.smu.edu.sg/sis_research/3416 https://ink.library.smu.edu.sg/context/sis_research/article/4417/viewcontent/Onlinesparsepassiveaggressivelearningwithkernels.pdf |
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Institution: | Singapore Management University |
Language: | English |
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