mi-DS: Multiple-Instance Learning Algorithm

Multiple-instance learning (MIL) is a supervised learning technique that addresses the problem of classifying bags of instances instead of single instances. In this paper, we introduce a rule-based MIL algorithm, called mi-DS, and compare it with 21 existing MIL algorithms on 26 commonly used data s...

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Bibliographic Details

Published in:	IEEE transactions on cybernetics Vol. 43; no. 1; pp. 143 - 154
Main Authors:	Nguyen, Dat T., Nguyen, Cao D., Hargraves, Rosalyn, Kurgan, Lukasz A., Cios, Krzysztof J.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.02.2013
Subjects:	Algorithms Animals Classification algorithms Computational Biology Databases, Factual Educational institutions Machine Learning Models, Statistical Multiple-instance learning (MIL) Prediction algorithms Proteins rule-based algorithms supervised learning Support vector machines Training data
ISSN:	2168-2267, 2168-2275, 2168-2275
Online Access:	Get full text
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