Výsledky vyhledávání - "algorithm recommendation for data streams"
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Témata: 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, Artificial intelligence, Data mining, Machine learning
Popis souboru: application/pdf
Relation: Cognitive Technologies
Přístupová URL adresa: https://library.oapen.org/handle/20.500.12657/53319
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Zdroj: Cognitive Technologies ISBN: 9783030670238
Témata: 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, algorithm recommendation, metalearning in deep neural networks, algorithm configuration, thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence, Metalearning, transfer learning, automating the workflow/pipeline design, Automating Machine Learning (AutoML), metalearning in ensemble construction, Machine Learning, Open Access, Artificial Intelligence, hyperparameter optimization, automating data science, algorithm selection, algorithm recommendation for data streams
Popis souboru: image/jpeg; application/pdf
Přístupová URL adresa: https://library.oapen.org/bitstream/20.500.12657/53319/1/978-3-030-67024-5.pdf
https://library.oapen.org/handle/20.500.12657/53319
https://directory.doabooks.org/handle/20.500.12854/79344
https://library.oapen.org/handle/20.500.12657/53319
https://link.springer.com/978-3-030-67024-5 -
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Autoři: a další
Témata: 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
Popis souboru: application/pdf
Relation: Cognitive Technologies; ONIX_20220314_9783030670245_34; OCN: 1313550840
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