Multiple instance classification via quadratic programming

Multiple instance learning (MIL) is a variation of supervised learning, where data consists of labeled bags and each bag contains a set of instances. Unlike traditional supervised learning, labels are not known for the instances in MIL. Existing approaches in the literature make use of certain assum...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of global optimization Vol. 83; no. 4; pp. 639 - 670
Main Authors:	Küçükaşcı, Emel Şeyma, Baydoğan, Mustafa Gökçe, Taşkın, Z. Caner
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.08.2022 Springer Springer Nature B.V
Subjects:	Algorithms Classification Computer Science Heuristic methods Labels Mathematical optimization Mathematics Mathematics and Statistics Mixed integer Operations Research/Decision Theory Optimization Quadratic programming Real Functions Supervised learning Quadratic programming Multiple instance learning Classification
ISSN:	0925-5001, 1573-2916
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!