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Abstract: Most prior work on multiple-instance learning (Update)
Context of citations to this paper: More
...formulation of the multi instance regression task is NP hard, and proposed an EM based multi instance regression algorithm. Amar et al. [1] extended Diverse Density for multi instance regression and designed a method for artificially generating data sets for multi learning...
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BibTeX entry: (Update)
Amar, R.A., Dooly, D.R., Goldman, S.A. & Zhang, Q. (2001). Multiple-Instance Learning of Real-Valued Data. Proceedings 18th International Conference on Machine Learning, to appear. San Francisco, CA: Morgan Kaufmann. http://citeseer.ist.psu.edu/amar01multipleinstance.html More
@inproceedings{ amar01multipleinstance,
author = "Robert A. Amar and Daniel R. Dooly and Sally A. Goldman and Qi Zhang",
title = "Multiple-Instance Learning of Real-Valued Data",
booktitle = "Proc. 18th International Conf. on Machine Learning",
publisher = "Morgan Kaufmann, San Francisco, CA",
pages = "3--10",
year = "2001",
url = "citeseer.ist.psu.edu/amar01multipleinstance.html" }
Citations (may not include all citations):35 Multiple-instance learning for natural scene classication - Maron, Ratan - 1998
31 San Francisco (context) - th, on et al. - 1980
27 A framework for multiple-instance learning - Maron, Lozano-P - 1998
17 Learning from Ambiguity - Maron - 1998
6 Compass: A shapebased machine learning tool for drug design (context) - Jain, Dietterich et al. - 1994
3 On learning from mult-instance examples: Empirical evaluatio.. (context) - Auer - 1997
2 New aromatic musk odorants: Design and synthesis (context) - Fehr, Galindo et al. - 1989
1 Solving the MultipleInstance Learning Problem: A Lazy Learni.. (context) - dissertation, Computer et al. - 2000
The graph only includes citing articles where the year of publication is known.
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