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Published in:
2007 | OriginalPaper | Chapter
Active Learning for Regression Based on Query by Committee
Authors : Robert Burbidge, Jem J. Rowland, Ross D. King
Published in: Intelligent Data Engineering and Automated Learning - IDEAL 2007
Publisher: Springer Berlin Heidelberg
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We investigate a committee-based approach for active learning of real-valued functions. This is a variance-only strategy for selection of informative training data. As such it is shown to suffer when the model class is misspecified since the learner’s bias is high. Conversely, the strategy outperforms passive selection when the model class is very expressive since active minimization of the variance avoids overfitting.