Maximum margin semi-supervised learning with irrelevant data

DOI10.1016/j.neunet.2015.06.004zbMath1394.68326OpenAlexW921702527WikidataQ30986733 ScholiaQ30986733MaRDI QIDQ1669167

Haiqin Yang, Michael R. Lyu, Irwin King, Kaizhu Huang

Publication date: 30 August 2018

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2015.06.004

zbMATH Keywords

semi-supervised learningconcave-convex proceduremaximum margin classifierirrelevant data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• SeDuMi
• ElemStatLearn

Cites Work

• Text classification from labeled and unlabeled documents using EM
• A general soft label based linear discriminant analysis for semi-supervised dimensionality reduction
• An \(O(n^ 3L)\) primal interior point algorithm for convex quadratic programming
• Introduction to Semi-Supervised Learning
• The Concave-Convex Procedure
• Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Maximum margin semi-supervised learning with irrelevant data