Semi-Supervised Learning with Close-Form Label Propagation Using a Bipartite Graph

In this paper, we introduce an efficient and effective algorithm for Graph-based Semi-Supervised Learning (GSSL). Unlike other GSSL methods, our proposed algorithm achieves efficiency by constructing a bipartite graph, which connects a small number of representative points to a large volume of raw d...

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Bibliographic Details
Published in:	Symmetry (Basel) Vol. 16; no. 10; p. 1312
Main Authors:	Peng, Zhongxing, Zheng, Gengzhong, Huang, Wei
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.10.2024
Subjects:	Accuracy Algorithms Analysis Approximation Closed form solutions Construction Data points Datasets Effectiveness Efficiency Exact solutions Graph theory Labels Machine learning Propagation Semi-supervised learning User generated content
ISSN:	2073-8994, 2073-8994
Online Access:	Get full text
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