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

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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Bibliographic Details
Main Authors: Yuanzi He, Jiali He, Haotian Liu, Zhaowen Li
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Mathematics
Subjects:
partially labeled multiset-valued data
p-MSVDIS
uncertainty measurement
semi-supervised attribute selection
dependence function
information entropy
Online Access:https://www.mdpi.com/2227-7390/13/8/1318
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