Committee-Based Selective Sampling with Parameters Set by Meta-Learning
| Authors | |
|---|---|
| Year of publication | 2002 |
| Type | Article in Proceedings |
| Conference | Proceedings of the second IDDM workshop at ECML/PKDD 2002 |
| MU Faculty or unit | |
| 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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