Introduction to the Special Issue on Meta-Learning

Issue Title: Special Issue: Meta-Learning Recent advances in meta-learning are providing the foundations to construct meta-learning assistants and task-adaptive learners. The goal of this special issue is to foster an interest in meta-learning by compiling representative work in the field. The contr...

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Bibliographic Details
Published in:Machine learning 2004-03, Vol.54 (3), p.187-193
Main Authors: Giraud-Carrier, Christophe, Vilalta, Ricardo, Brazdil, Pavel
Format: Article
Language:English
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Summary:Issue Title: Special Issue: Meta-Learning Recent advances in meta-learning are providing the foundations to construct meta-learning assistants and task-adaptive learners. The goal of this special issue is to foster an interest in meta-learning by compiling representative work in the field. The contributions to this special issue provide strong insights into the construction of future meta-learning tools. In this introduction we present a common frame of reference to address work in meta-learning through the concept of meta-knowledge. We show how meta-learning can be simply defined as the process of exploiting knowledge about learning that enables us to understand and improve the performance of learning algorithms.[PUBLICATION ABSTRACT]
ISSN:0885-6125
1573-0565
DOI:10.1023/B:MACH.0000015878.60765.42