Toward Budgeted Online Kernel Ridge Regression on Streaming Data

Toward Budgeted Online Kernel Ridge Regression on Streaming Data

“Concept drift”makes learning from streaming data fundamentally different from traditional batch learning. Focusing on the regression task on streaming data, this paper presents an efficient online learning algorithm, i.e., budgeted online kernel ridge regression (BOKRR). It is...

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Bibliographic Details
Main Authors: Fuhao Gao, Xiaoxin Song, Ling Jian, Xijun Liang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Budget
kernel ridge regression
online learning
streaming data
Online Access:https://ieeexplore.ieee.org/document/8651452/

Internet

https://ieeexplore.ieee.org/document/8651452/

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