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Abstract: For many types of machine learning algorithms, one can compute the statistically "optimal " way to select training data. In this paper, we review how optimal data selection techniques have been used with feedforward neural networks. We then show how the same principles may be used to select data for two alternative, statistically-based learning architectures: mixtures of Gaussians and locally weighted regression. While the techniques for neural networks are computationally expensive and... (Update)
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BibTeX entry: (Update)
Cohn, D. A.; Ghahramani, Z.; and Jordan, M. I. 1995. Active learning with statistical models. In Tesauro, G.; Touretzky, D.; and Alspector, J., eds., Advances in Neural Information Processing, volume 7. Morgan Kaufmann. http://citeseer.ist.psu.edu/article/cohn96active.html More
@inproceedings{ cohn95active,
author = "David A. Cohn and Zoubin Ghahramani and Michael I. Jordan",
title = "Active Learning with Statistical Models",
booktitle = "Advances in Neural Information Processing Systems",
volume = "7",
publisher = "The {MIT} Press",
editor = "G. Tesauro and D. Touretzky and T. Leen",
pages = "705--712",
year = "1995",
url = "citeseer.ist.psu.edu/article/cohn96active.html" }
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310 Statistical Analysis of Finite Mixture Distributions (context) - Titterington, Smith et al. - 1985
240 Advances in Neural Information Processing Systems (context) - Tesauro, Touretzky et al. - 1988
132 Theory of Optimal Experiments (context) - Fedorov - 1972
119 Empirical model-building and response surfaces (context) - Box, Draper - 1987
105 Information-based objective functions for active data select.. - MacKay - 1992
91 Improving generalization with active learning - Cohn, Atlas et al. - 1994
90 Bayesian classification (context) - Cheeseman, Self et al. - 1988
80 Applied Linear Regression (context) - Weisberg - 1985
77 Neural network exploration using optimal experiment design - Cohn - 1994
76 Supervised learning from incomplete data via an EM approach - Ghahramani, Jordan - 1994
58 A general regression neural network (context) - Specht - 1991
49 Active exploration in dynamic environments - Thrun, Moller - 1992
46 Selecting concise training sets from clean data (context) - Plutowski, White - 1993
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37 Robot juggling: An implementation of memory-based learning (context) - Schaal, Atkeson - 1994
24 A study of cooperative mechanisms for faster reinforcement l.. (context) - Whitehead - 1991
12 Reinforcement driven information acquisition in nondetermini.. - Schmidhuber, Storck - 1993
10 Minimizing statistical bias with queries - Cohn - 1995
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8 Regression by local fitting (context) - Cleveland, Devlin et al. - 1988
4 Neural network algorithms that learn in polynomial time from.. (context) - Baum, Lang - 1991
4 Implementing inner drive by competence reflection (context) - Linden, Weber - 1993
4 Optimal control systems (context) - Fe'ldbaum - 1965
2 Soft competitive adaptation: Neural network learning algorit.. (context) - Computation, Nowlan - 1991
2 Maximum likelihood from incomplete data via the EM algorithm (context) - Learning, Dempster et al. - 1977
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