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Metalearning: a survey of trends and technologies
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 r...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4459543/ https://www.ncbi.nlm.nih.gov/pubmed/26069389 http://dx.doi.org/10.1007/s10462-013-9406-y |
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author | Lemke, Christiane Budka, Marcin Gabrys, Bogdan |
author_facet | Lemke, Christiane Budka, Marcin Gabrys, Bogdan |
author_sort | Lemke, Christiane |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4459543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-44595432015-06-09 Metalearning: a survey of trends and technologies Lemke, Christiane Budka, Marcin Gabrys, Bogdan Artif Intell Rev Article 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. Springer Netherlands 2013-07-20 2015 /pmc/articles/PMC4459543/ /pubmed/26069389 http://dx.doi.org/10.1007/s10462-013-9406-y Text en © The Author(s) 2013 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Article Lemke, Christiane Budka, Marcin Gabrys, Bogdan Metalearning: a survey of trends and technologies |
title | Metalearning: a survey of trends and technologies |
title_full | Metalearning: a survey of trends and technologies |
title_fullStr | Metalearning: a survey of trends and technologies |
title_full_unstemmed | Metalearning: a survey of trends and technologies |
title_short | Metalearning: a survey of trends and technologies |
title_sort | metalearning: a survey of trends and technologies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4459543/ https://www.ncbi.nlm.nih.gov/pubmed/26069389 http://dx.doi.org/10.1007/s10462-013-9406-y |
work_keys_str_mv | AT lemkechristiane metalearningasurveyoftrendsandtechnologies AT budkamarcin metalearningasurveyoftrendsandtechnologies AT gabrysbogdan metalearningasurveyoftrendsandtechnologies |