Metalearning: a survey of trends and technologies
Authors: Budka, M., Gabrys, B. and Lemke, C.
Journal: Artificial Intelligence Review
Pages: 1-14
eISSN: 1573-7462
ISSN: 0269-2821
DOI: 10.1007/s10462-013-9406-y
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. © 2013 The Author(s).
Source: Scopus
Preferred by: Marcin Budka
Metalearning: a survey of trends and technologies
Authors: Lemke, C., Budka, M. and Gabrys, B.
Journal: Artificial Intelligence Review
Volume: 44
Issue: 1
Pages: 117-130
eISSN: 1573-7462
ISSN: 0269-2821
DOI: 10.1007/s10462-013-9406-y
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.
Source: Scopus
Metalearning: a survey of trends and technologies.
Authors: Lemke, C., Budka, M. and Gabrys, B.
Journal: Artif Intell Rev
Volume: 44
Issue: 1
Pages: 117-130
ISSN: 0269-2821
DOI: 10.1007/s10462-013-9406-y
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.
Source: PubMed
Metalearning: a survey of trends and technologies
Authors: Lemke, C., Budka, M. and Gabrys, B.
Journal: ARTIFICIAL INTELLIGENCE REVIEW
Volume: 44
Issue: 1
Pages: 117-130
eISSN: 1573-7462
ISSN: 0269-2821
DOI: 10.1007/s10462-013-9406-y
Source: Web of Science (Lite)
Metalearning: a survey of trends and technologies
Authors: Lemke, C., Budka, M. and Gabrys, B.
Journal: Artificial Intelligence Review
Volume: 44
Issue: 1
Pages: 117-130
eISSN: 1573-7462
ISSN: 0269-2821
DOI: 10.1007/s10462-013-9406-y
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. © 2013 The Author(s).
Source: Manual
Metalearning: a survey of trends and technologies.
Authors: Lemke, C., Budka, M. and Gabrys, B.
Journal: Artif. Intell. Rev.
Volume: 44
Pages: 117-130
DOI: 10.1007/s10462-013-9406-y
Source: DBLP
Metalearning: a survey of trends and technologies.
Authors: Lemke, C., Budka, M. and Gabrys, B.
Journal: Artificial intelligence review
Volume: 44
Issue: 1
Pages: 117-130
eISSN: 1573-7462
ISSN: 0269-2821
DOI: 10.1007/s10462-013-9406-y
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.
Source: Europe PubMed Central