Large scale online multiple kernel regression with application to time-series prediction
Kernel-based regression represents an important family of learning techniques for solving challenging regression tasks with non-linear patterns. Despite being studied extensively, most of the existing work suffers from two major drawbacks as follows: (i) they are often designed for solving regressio...
Saved in:
Main Authors: | SAHOO, Doyen, HOI, Steven C. H., LIN, Bin |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4383 https://ink.library.smu.edu.sg/context/sis_research/article/5386/viewcontent/Large_Scale_Online_Multiple_Kernel_2019_afv.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Online Multiple Kernel Regression
by: SAHOO, Doyen, et al.
Published: (2014) -
Large scale online kernel learning
by: LU, Jing, et al.
Published: (2016) -
Sparse Passive-Aggressive learning for bounded online kernel methods
by: LU, Jing, et al.
Published: (2018) -
Cost sensitive online multiple kernel classification
by: SAHOO, Doyen, et al.
Published: (2016) -
Learning the unified Kernel machines for classification
by: HOI, Steven C. H., et al.
Published: (2006)