Metalearning: a survey of trends and technologies #MMPMID26069389
Lemke C; Budka M; Gabrys B
Artif Intell Rev 2015[]; 44 (1): 117-30 PMID26069389show 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.