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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Bibliographic Details
Main Authors: LU, Jing, ZHAO, Peilin, HOI, Steven C. H.
Format: text
Language:English
Published: 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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