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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Vydané v:	Symmetry (Basel) Ročník 16; číslo 10; s. 1312
Hlavní autori:	Peng, Zhongxing, Zheng, Gengzhong, Huang, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.10.2024
Predmet:	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
On-line prístup:	Získať plný text
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