Encyclopedia of Machine Learning and Data Mining 2016
DOI: 10.1007/978-1-4899-7502-7_543-1
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Metalearning

Abstract: In the area machine learning / data mining many diverse algorithms are available nowadays and hence the selection of the most suitable algorithm may be a challenge. Tbhis is aggravated by the fact that many algorithms require that certain parameters be set. If a wrong algorithm and/or parameter configuration is selected, substandard results may be obtained. The topic of metalearning aims to facilitate this task. Met

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Cited by 27 publications
(48 citation statements)
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“…In the early 1990s, algorithm recommendation was regarded as a learning task in the field of machine learning, so the meta-learning was proposed. Self-learning mechanism can be improved with meta-learning from previous studies reference [6]. Algorithm recommendation based on meta-learning is applied to establish the mapping model between problem features and algorithm performance.…”
Section: Related Workmentioning
confidence: 99%
“…In the early 1990s, algorithm recommendation was regarded as a learning task in the field of machine learning, so the meta-learning was proposed. Self-learning mechanism can be improved with meta-learning from previous studies reference [6]. Algorithm recommendation based on meta-learning is applied to establish the mapping model between problem features and algorithm performance.…”
Section: Related Workmentioning
confidence: 99%
“…Meta-learning (Brazdil, Carrier, Soares, and Vilalta 2008 ), as a lifelong approach, serves to gain new knowledge in a continuous fashion, shape beliefs, and act upon such knowledge as information is evolving. Merging meta-learning with principles of nature of science and scientific reasoning (Kuhn 2010 ) provides the learner with an understanding of the similarities between engaging in lifelong learning practices and the science process, since science is ever evolving.…”
Section: Metacognition and Meta-learningmentioning
confidence: 99%
“…Such a combination is usually orchestrated through meta-learning [ 30 , 71 ], which uses knowledge acquired during base-learning episodes, i.e., meta-knowledge, to improve classification capabilities. More specifically [ 72 ], a base-learning process starts feeding images into one or more base classifiers to create meta-data at the first stage.…”
Section: Sliding Windows To Improve Tsrmentioning
confidence: 99%