A maximum-margin multisphere approach for binary Multiple Instance Learning

Author:

Astorino Annabella,Avolio MatteoORCID,Fuduli AntonioORCID

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference54 articles.

1. Multiple instance classification: Review, taxonomy and comparative study;Amores;Artificial Intelligence,2013

2. Support vector machines for Multiple-Instance Learning;Andrews,2003

3. An embarrassingly simple approach to neural multiple instance classification;Asif;Pattern Recognition Letters,2019

4. The proximal trajectory algorithm in SVM cross validation;Astorino;IEEE Transactions on Neural Networks and Learning Systems,2016

5. Margin maximization in spherical separation;Astorino;Computational Optimization and Applications,2012

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2. The semiproximal SVM approach for multiple instance learning: a kernel-based computational study;Optimization Letters;2023-06-14

3. On Detection of Diabetic Retinopathy via Multiple Instance Learning;International Database Engineered Applications Symposium Conference;2023-05-05

4. Maximum-margin polyhedral separation for binary Multiple Instance Learning;EURO Journal on Computational Optimization;2023

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