Kernel based online learning

Kernel Based Online Learning (KBOL) is an important branch of online learning in machine learning, in which the objective is to optimize the online predictive performance, typically measured by classification accuracy. It enjoys many advantages when solving real-world large-scale applications, such...

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Bibliographic Details
Main Author: Zhao, Peilin
Other Authors: Hoi Chu Hong
Format: Theses and Dissertations
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/54684
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Institution: Nanyang Technological University
Language: English