A robust semi-supervised learning approach via mixture of label information-Reference-Cited by-同舟云学术

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A robust semi-supervised learning approach via mixture of label information

Published:2015-12 Issue: Volume:68 Page:15-21
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Yang Yun,Liu Xingchen

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference15 articles.

1. Semi-supervised support vector machines;Bennett;Adv. Neural Inf. Process. Syst.,1999

2. Transductive inference for text classification using support vector machines;Joachims,1999

3. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples;Belkin;Mach. Learn. Res.,2006

4. Semi-supervised learning using label mean;Li,2009

5. Towards making unlabeled data never hurt;Li,2011

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