Hierarchical Sampling for Multi-Instance Ensemble Learning

Publisher:
IEEE Computer Soc
Publication Type:
Journal Article
Citation:
IEEE Transactions On Knowledge And Data Engineering, 2013, 25 (12), pp. 2900 - 2905
Issue Date:
2013-01
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In this paper, we propose a Hierarchical Sampling-based Multi-Instance ensemble LEarning (HSMILE) method. Due to the unique multi-instance learning nature, a positive bag contains at least one positive instance whereas samples (instance and sample are in
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