Back to Results
First PageMeta Content
Statistical theory / Robust statistics / Mathematical optimization / Linear algebra / Econometrics / M-estimator / Loss function / Robust optimization / Robust regression / Statistics / Algebra / Mathematics


Relaxed Clipping: A Global Training Method for Robust Regression and Classification Yaoliang Yu, Min Yang, Linli Xu, Martha White, Dale Schuurmans University of Alberta, Dept. Computing Science, Edmonton AB T6G 2E8, Cana
Add to Reading List

Document Date: 2010-12-15 01:15:36


Open Document

File Size: 192,93 KB

Share Result on Facebook

Company

Cambridge U. Press / Johns Hopkins U. Press / Princeton U. Press / Neural Information Processing Systems / MIT Press / /

/

Facility

Dale Schuurmans University of Alberta / /

IndustryTerm

on-line learning / inner solution / maximum eigenvector solution / computing / tanh loss algorithm / approximate solution / stable algorithm / /

Organization

University of Alberta / American Statistical Association / MIT / /

Person

Martha White / Min Yang / /

Position

representative / /

PublishedMedium

Journal of Machine Learning Research / Journal of the American Statistical Association / Machine Learning / /

Technology

stable algorithm / machine learning / tanh loss algorithm / /

SocialTag