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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...

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Detalles Bibliográficos
Autores principales: Lemke, Christiane, Budka, Marcin, Gabrys, Bogdan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2013
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
Descripción
Sumario: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.