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ToolsLemke, C., Budka, M. and Gabrys, B., 2013. Metalearning: a survey of trends and technologies. Artificial Intelligence Review, 1 - 14 .
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DOI: 10.1007/s10462-013-9406-y
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).
| Item Type: | Article |
|---|---|
| ISSN: | 0269-2821 |
| Group: | Faculty of Science & Technology |
| ID Code: | 21017 |
| Deposited By: | Symplectic RT2 |
| Deposited On: | 13 Jan 2014 14:29 |
| Last Modified: | 14 Mar 2022 13:47 |
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