A Comprehensive Review on Multiple Instance Learning
Author:
Affiliation:
1. Department of Digital Anti-Aging Healthcare, Inje University, Gimhae 50834, Republic of Korea
2. Institute of Digital Anti-Aging Healthcare, College of AI Convergence, u-AHRC, Inje University, Gimhae 50834, Republic of Korea
Abstract
Funder
Korea Health Industry Development Institute validation
Ministry of Health and Welfare, Republic of Korea
Publisher
MDPI AG
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Link
https://www.mdpi.com/2079-9292/12/20/4323/pdf
Reference93 articles.
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3. Multiple instance learning: A survey of problem characteristics and applications;Carbonneau;Pattern Recognit.,2018
4. A linear primal–dual multi-instance SVM for big data classifications;Brand;Knowl. Inf. Syst.,2023
5. Afsar Minhas, F.u.A., Ross, E.D., and Ben-Hur, A. (2017). Amino acid composition predicts prion activity. PLoS Comput. Biol., 13.
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