Maximum-margin polyhedral separation for binary Multiple Instance Learning
Multiple Instance Learning (MIL) is a kind of weak supervised learning, where each sample is represented by a bag of instances. The main characteristic of such problems resides in the training phase, since the class labels are provided only for each bag, whereas the instance labels are unknown.We fo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-01-01
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| Series: | EURO Journal on Computational Optimization |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S219244062300014X |