A Survey on Semi-supervised Learning for Delayed Partially Labelled Data Streams

Unlabelled data appear in many domains and are particularly relevant to streaming applications, where even though data is abundant, labelled data is rare. To address the learning problems associated with such data, one can ignore the unlabelled data and focus only on the labelled data (supervised le...

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Bibliographic Details
Published in:ACM computing surveys 2023-04, Vol.55 (4), p.1-42, Article 75
Main Authors: Gomes, Heitor Murilo, Grzenda, Maciej, Mello, Rodrigo, Read, Jesse, Le Nguyen, Minh Huong, Bifet, Albert
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer Science
Computing methodologies
Data transmission
General and reference
Labels
Machine Learning
Online learning settings
Performance prediction
Semi-supervised learning
Semi-supervised learning settings
Surveys and overviews
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