Semi-Supervised Attribute Selection Algorithms for Partially Labeled Multiset-Valued Data

In machine learning, when the labeled portion of data needs to be processed, a semi-supervised learning algorithm is used. A dataset with missing attribute values or labels is referred to as an incomplete information system. Addressing incomplete information within a system poses a significant chall...

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Detalhes bibliográficos

Principais autores:	Yuanzi He, Jiali He, Haotian Liu, Zhaowen Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-04-01
coleção:	Mathematics
Assuntos:	partially labeled multiset-valued data p-MSVDIS uncertainty measurement semi-supervised attribute selection dependence function information entropy
Acesso em linha:	https://www.mdpi.com/2227-7390/13/8/1318
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