Metalearning: a survey of trends and technologies

被引：229
作者：
Lemke, Christiane [2 ]
Budka, Marcin [1 ]
Gabrys, Bogdan [1 ]
机构：
[1] Bournemouth Univ, Poole BH12 5BB, Dorset, England
[2] Unister GmbH, Leipzig, Germany
来源：
ARTIFICIAL INTELLIGENCE REVIEW | 2015年 / 44卷 / 01期
关键词：
Metalearning; Metaknowledge extraction; Life-long learning; META-LEARNING FRAMEWORK; TIME; RANKING; ENSEMBLE;
D O I：
10.1007/s10462-013-9406-y
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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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收藏
页码：117 / 130
页数：14
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