Robust regularized Kernel regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual form, which is then solved by some quadratic program solver consequently. In this correspondence, we propose a new formula...
Saved in:
Main Authors: | , , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2008
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2316 https://ink.library.smu.edu.sg/context/sis_research/article/3316/viewcontent/RobustRegularized_2008.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Be the first to leave a comment!