Supervised aggregated feature learning for multiple instance classification
نویسندگان
چکیده
منابع مشابه
Multiple-Instance Learning: Multiple Feature Selection on Instance Representation
In multiple-Instance Learning (MIL), training class labels are attached to sets of bags composed of unlabeled instances, and the goal is to deal with classification of bags. Most previous MIL algorithms, which tackle classification problems, consider each instance as a represented feature. Although the algorithms work well in some prediction problems, considering diverse features to represent a...
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2017
ISSN: 0020-0255
DOI: 10.1016/j.ins.2016.09.060