Back to Results
First PageMeta Content
Machine learning / Mathematical optimization / Functional analysis / Econometrics / Convex analysis / Convex optimization / Supervised learning / Semi-supervised learning / Loss function / Algebra / Mathematics / Linear algebra


Semi-supervised Multi-label Classification: A Simultaneous Large-margin, Subspace Learning Approach Yuhong Guo and Dale Schuurmans 1 Department of Computer and Information Sciences
Add to Reading List

Document Date: 2012-09-28 23:24:14


Open Document

File Size: 357,51 KB

Share Result on Facebook

Company

Computing Science University of Alberta Edmonton AB / /

Country

United States / Canada / /

Facility

Information Sciences Temple University / /

IndustryTerm

plausible global training algorithm / overall binary search procedure / subgradient coordinate descent algorithm / subgradient-based binary line search procedure / line search / simpler binary line search procedure / binary line search step / block-descent optimization algorithm / subgradient search / binary line search / optimization algorithm / binary line search procedure / search interval / /

Organization

Department of Computer and Information Sciences Temple University Philadelphia / Computing Science University of Alberta Edmonton / /

Person

Dale Schuurmans / Approach Yuhong Guo / /

Position

Rt / /

ProvinceOrState

Pennsylvania / /

Technology

machine learning / block-descent optimization algorithm / 4 Optimization Algorithm / subgradient coordinate descent algorithm / optimization algorithm / /

SocialTag