Online sparse passive aggressive learning with kernels

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
Subjects:
Computer Sciences
Databases and Information Systems
Theory and Algorithms
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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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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