A Comprehensive Review on Multiple Instance Learning

Multiple-instance learning has become popular over recent years due to its use in some special scenarios. It is basically a type of weakly supervised learning where the learning dataset contains bags of instances instead of a single feature vector. Each bag is associated with a single label. This ty...

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Bibliographic Details
Main Authors: Samman Fatima, Sikandar Ali, Hee-Cheol Kim
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/12/20/4323