@inproceedings{8ea79e7dff0848538972286e857b278e,
title = "MISUP: Multiple-instance learning via immunological suppression mechanism",
abstract = "In multiple-instance learning (MIL), examples are sets of instances named bags and labels are associated with bags rather than instances. A bag is labeled as positive if it contains at least one positive instance; otherwise, labeled as negative. Recently, several instance selection-based MIL (ISMIL) algorithms show their power in solving the MIL problem. In this paper, we propose a new ISMIL algorithm based on the self-regulation and suppression mechanisms found in the biological immune system. Experimental results show that our MIL algorithm is highly comparable with other ISMIL ones in terms of classification accuracy and computation time.",
keywords = "Artificial immune systems, Instance selection, Multiple-instance learning, Support vector machines",
author = "Duzhou Zhang and Xibin Cao",
year = "2013",
doi = "10.1007/978-3-642-42042-9\_4",
language = "英语",
isbn = "9783642420412",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "27--34",
booktitle = "Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings",
edition = "PART 2",
note = "20th International Conference on Neural Information Processing, ICONIP 2013 ; Conference date: 03-11-2013 Through 07-11-2013",
}