title: Metalearning: a survey of trends and technologies.
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.
authors.affiliation: Unister GmbH, Leipzig, Germany.
authors.forename: Christiane
authors.initials: C
authors.lastname: Lemke
authors.affiliation: Bournemouth University, Poole House, Talbot Campus, Fern Barrow, BH12 5BB Poole, UK.
authors.forename: Marcin
authors.initials: M
authors.lastname: Budka
authors.affiliation: Bournemouth University, Poole House, Talbot Campus, Fern Barrow, BH12 5BB Poole, UK.
authors.forename: Bogdan
authors.initials: B
authors.lastname: Gabrys
keywords: Life-long learning; Metaknowledge extraction; Metalearning