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10.1007/s10462-013-9406-y

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suck abstract from ncbi

pmid26069389
      Artif+Intell+Rev 2015 ; 44 (1 ): 117-130
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  • Metalearning: a survey of trends and technologies #MMPMID26069389
  • Lemke C ; Budka M ; Gabrys B
  • Artif Intell Rev 2015[]; 44 (1 ): 117-130 PMID26069389 show ga
  • 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.
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