Meta learning (computer science)
Meta learningis a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of 2017 the term had not found a standard interpretation, however the main goal is to use such metadata to understand how automatic learning can become flexible in solving learning problems, hence to improve the performance of existing learning algorithms or to learn (induce) the learning algorithm itself, hence the alternative term learning to learn.
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Algorithm selectionAutomated machine learningBalan WonderworldComplexityGenetic programmingGeorgios B. GiannakisGödel machineJürgen SchmidhuberMachine learningMeta-learning (computer science)Meta learning (Computer Science)Mila (research institute)Outline of machine learningSepp HochreiterShlomo ArgamonUnsupervised learningWeighted majority algorithm (machine learning)
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Meta learning (computer science)
Meta learningis a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of 2017 the term had not found a standard interpretation, however the main goal is to use such metadata to understand how automatic learning can become flexible in solving learning problems, hence to improve the performance of existing learning algorithms or to learn (induce) the learning algorithm itself, hence the alternative term learning to learn.
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El metaaprendizaje es un subca ...... en su trabajo temprano (1991).
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Meta learningis a subfield of ...... d by meta meta evolution, etc.
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1,021,893,078
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El metaaprendizaje es un subca ...... directamente de la los datos.
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Meta learningis a subfield of ...... native term learning to learn.
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Meta learning (computer science)
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Metaaprendizaje (ciencias de la computación)
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