A graph-based approach for positive and unlabeled learning

DOI10.1016/J.INS.2021.08.099OpenAlexW3196698972MaRDI QIDQ6186980

Rafael Geraldeli Rossi, Alneu de Andrade Lopes, Evangelos E. Milios, Julio César Carnevali

Publication date: 10 January 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.08.099

zbMATH Keywords

text classificationtransductive learninglabel propagationgraph-based learningpositive and unlabeled learning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Graph theory (including graph drawing) in computer science (68R10) Graph algorithms (graph-theoretic aspects) (05C85) Computing methodologies for text processing; mathematical typography (68U15)

Cites Work

• Unnamed Item
• A note on two problems in connexion with graphs
• Text classification from labeled and unlabeled documents using EM
• A survey on semi-supervised learning
• Graph-based Natural Language Processing and Information Retrieval
• Introduction to Semi-Supervised Learning
• Networks
• Machine Learning for Text
• Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms

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