Metalearning

This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on oth...

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Автори:	Brazdil, Pavel, van Rijn, Jan N., Soares, Carlos, Vanschoren, Joaquin
Формат:	Online
Мова:	Англійська
Опубліковано:	Springer Nature 2022
Предмети:	Metalearning Automating Machine Learning (AutoML) Machine Learning Artificial Intelligence algorithm selection algorithm recommendation algorithm configuration hyperparameter optimization automating the workflow/pipeline design metalearning in ensemble construction metalearning in deep neural networks transfer learning algorithm recommendation for data streams automating data science Open Access thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
Онлайн доступ:	ONIX_20220314_9783030670245_34
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