Committee-Based Selective Sampling with Parameters Set by Meta-Learning

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Authors

NEPIL Miloslav POPELÍNSKÝ Lubomír

Year of publication 2002
Type Article in Proceedings
Conference Proceedings of the second IDDM workshop at ECML/PKDD 2002
MU Faculty or unit

Faculty of Informatics

Citation
Web IDDM 2002 - online proceedings
Field Use of computers, robotics and its application
Keywords selective sampling; meta-learning
Description This contribution presents a parametric variant of committee-based selective sampling. The committee members learned on small subsets obtained by random sampling from the original dataset are used to classify the rest of the dataset. In the second part of the paper a meta-learning technique for parameter setting is introduced and experimental results obtained with it are discussed.
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