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Abstract: Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many instances, but a bag is labeled positive even if only one of the instances in it falls within the concept. A bag is labeled negative only if all the instances in it are negative. We describe a new general framework, called Diverse Density, for solving multiple-instance learning problems. We apply this framework to learn a ... (Update)
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BibTeX entry: (Update)
O. Maron and T. Lozano-P'erez. A framework for Multiple-Instance learning. In Advances in Neural Information Processing Systems 10. MIT Press, 1998. http://citeseer.ist.psu.edu/maron98framework.html More
@inproceedings{ maron98framework,
author = "Oded Maron and Tom\'{a}s Lozano-P\'{e}rez",
title = "A Framework for Multiple-Instance Learning",
booktitle = "Advances in Neural Information Processing Systems",
volume = "10",
publisher = "The {MIT} Press",
editor = "Michael I. Jordan and Michael J. Kearns and Sara A. Solla",
year = "1998",
url = "citeseer.ist.psu.edu/maron98framework.html" }
Citations (may not include all citations):79 Solving the Multiple-Instance Problem with Axis-Parallel Rec.. - Dietterich, Lathrop et al. - 1997
35 Multiple-Instance Learning for Natural Scene Classification - Maron, LakshmiRatan - 1998
22 On Learning from Multi-Instance Examples: Empirical Evaluati.. - Auer - 1997
15 A Note on Learning from Multiple-Instance Examples - Blum, Kalai - 1998
2 PAC-learning axis alligned rectangles with respect to produc.. (context) - Long, Tan - 1996
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.ai.mit.edu/people/oded/multiple-instance.html): More
A Note on Learning from Multiple-Instance Examples - Blum, Kalai (1998) (Correct)
Visible Decomposition: Real-Time Path Planning in Large .. - Maron.. (1996) (Correct)
Multiple-Instance Learning for Natural Scene Classification - Maron, Ratan (1998) (Correct)
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