Graph-based semi-supervised learning: A review-Reference-Cited by-同舟云学术

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Graph-based semi-supervised learning: A review

Published:2020-09 Issue: Volume:408 Page:216-230
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Chong Yanwen,Ding Yun^ORCID,Yan Qing,Pan Shaoming^ORCID

Funder

National Natural Science Foundation of China

LIESMARS

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference213 articles.

1. Introduction to semi-supervised learning;Zhu;Synth. Lect. Artif. Intell. Mach. Learn.,2009

2. Survey of Clustering Algorithms;Xu,2005

3. Pattern classification and scene analysis;Chien;IEEE Trans. Autom. Control,2003

4. Classification and regression by randomForest;Liaw;R. News,2013

5. X.J. Zhu, Semi-supervised learning literature survey, University of Wisconsin-Madison Department ofComputer Sciences, 37 (2005) 63–77.

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