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 [BibTeX] [Marc21]
Online Policy Adaptation for Ensemble Algorithms
Type of publication: Idiap-RR
Citation: DimitrakBengio2002a
Number: Idiap-RR-28-2002
Year: 2002
Institution: IDIAP
Abstract: Ensemble algorithms are general methods for improving the performance of a given learning algorithm. This is achieved by the combination of multiple base classifiers into an ensemble. In this paper, the idea of using an adaptive policy for training and combining the base classifiers is put forward. The effectiveness of this approach for online learning is demonstrated by experimental results.
Userfields: ipdmembership={learning},
Projects Idiap
Authors Dimitrakakis, Christos
Bengio, Samy
Added by: [UNK]
Total mark: 0
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