Multiple Instance Learning with Genetic Pooling for medical data analysis

•First approach in designing Multiple Instance Pooling function through metaheuristics i.e. Genetic algorithm.•A trainable pooling method is proposed - Genetic Pooling.•Genetic Pooling outperforms other MIL pooling methods in terms of AUC and average precision score. Multiple Instance Learning is a...

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Bibliographic Details
Published in:	Pattern recognition letters Vol. 133; pp. 247 - 255
Main Authors:	Bhattacharjee, Kamanasish, Pant, Millie, Zhang, Yu-Dong, Satapathy, Suresh Chandra
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.05.2020 Elsevier Science Ltd
Subjects:	Algorithms Artificial neural networks Data analysis Genetic Algorithm (GA) Genetic algorithms Genetic analysis Labels Learning algorithms Machine learning Multiple Instance Learning (MIL) Neural network Neural networks Pooling Multiple Instance Learning (MIL) Genetic Algorithm (GA) Neural network Pooling
ISSN:	0167-8655, 1872-7344
Online Access:	Get full text
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