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Abstract: We propose an active learning method with hidden-unit reduction, which is devised specially for multilayer perceptrons (MLP). First, we review our active learning method, and point out that many Fisher-information-based methods applied to MLP have a critical problem: the information matrix may be singular. To solve this problem, we derive the singularity condition of an information matrix, and propose an active learning technique that is applicable to MLP. Its effectiveness is verified through... (Update)
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BibTeX entry: (Update)
K. Fukumizu. Active learning in multilayer perceptrons. In Advances in Neural Information Processing Systems, Vol. 8, pp. 295-301. MIT Press, 1996. http://citeseer.ist.psu.edu/fukumizu96active.html More
@inproceedings{ fukumizu96active,
author = "Kenji Fukumizu",
title = "Active Learning in Multilayer Perceptrons",
booktitle = "Advances in Neural Information Processing Systems",
volume = "8",
publisher = "The {MIT} Press",
editor = "David S. Touretzky and Michael C. Mozer and Michael E. Hasselmo",
pages = "295--301",
year = "1996",
url = "citeseer.ist.psu.edu/fukumizu96active.html" }
Citations (may not include all citations):240 Advances in Neural Information Processing Systems (context) - Cowan - 1972
99 Learning in artificial neural networks: A statistical perspe.. (context) - White - 1989
77 Neural network exploration using optimal experiment design - Cohn - 1994 ACM DBLP
50 Optimal Design of Experiments (context) - Pukelsheim - 1993
10 A Regularity Condition of the Information Matrix of a Multil.. - Fukumizu - 1996 ACM
6 the problem of applying AIC to determine the structure of a .. (context) - Hagiwara, Toda et al. - 1993
2 Error Estimation and Learning Data Arrangement for Neural Ne.. (context) - Fukumizu, Watanabe - 1994
1 Information-based objective functions for active data select.. (context) - Conf, MacKay - 1992 ACM
The graph only includes citing articles where the year of publication is known.
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