Sparse Passive-Aggressive learning for bounded online kernel methods

• المؤلفون الرئيسيون: LU, Jing, SAHOO, Doyen, ZHAO, Peilin, HOI, Steven C. H.
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2018
• الموضوعات: Kernel methods; Online learning; Online multiple-kernel learning; Databases and Information Systems; Numerical Analysis and Scientific Computing; Theory and Algorithms
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/3999; https://ink.library.smu.edu.sg/context/sis_research/article/5001/viewcontent/sparse.pdf

One critical deficiency of traditional online kernel learning methods is their unbounded and growing number of support vectors in the online learning process, making them inefficient and non-scalable for large-scale applications. Recent studies on scalable online kernel learning have attempted to ov...