Metalearning: a survey of trends and technologies
Authors: Lemke, C., Budka, M. and Gabrys, B.
Journal: Artificial Intelligence Review
Pages: 1-14
ISSN: 0269-2821
Abstract:Metalearning attracted considerable interest in the machine learning community in the last years. Yet, some disagreement remains on what does or what does not constitute a metalearning problem and in which contexts the term is used in. This survey aims at giving an all-encompassing overview of the research directions pursued under the umbrella of metalearning, reconciling different definitions given in scientific literature, listing the choices involved when designing a metalearning system and identifying some of the future research challenges in this domain. © 2013 The Author(s).
https://eprints.bournemouth.ac.uk/21017/
Source: BURO EPrints