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pro vyhledávání: '"Alexander Zender"'
Autor:
Bernhard G. Humm, Phil Archer, Hermann Bense, Carolynn Bernier, Christian Goetz, Thomas Hoppe, Fabienne Schumann, Melanie Siegel, Rigo Wenning, Alexander Zender
Publikováno v:
Informatik Spektrum. 46:65-78
In this article, selected new directions in knowledge-based artificial intelligence (AI) and machine learning (ML) are presented: ontology development methodologies and tools, automated engineering of WordNets, innovations in semantic search, and aut
Autor:
Alexander Zender, Bernhard G. Humm
Publikováno v:
Integrated Computer-Aided Engineering. 29:351-366
Automated machine learning (AutoML) supports ML engineers and data scientist by automating single tasks like model selection and hyperparameter optimization, automatically generating entire ML pipelines. This article presents a survey of 20 state-of-
Autor:
Bernhard Humm, Alexander Zender
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030791490
AIAI
IFIP Advances in Information and Communication Technology
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.117-128, ⟨10.1007/978-3-030-79150-6_10⟩
AIAI
IFIP Advances in Information and Communication Technology
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.117-128, ⟨10.1007/978-3-030-79150-6_10⟩
Part 4: Automated Machine Learning; International audience; Automated machine learning (AutoML) supports ML engineers and data scientists by automating tasks like model selection and hyperparameter optimization. A number of AutoML solutions have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6c9ec5c43cab430cb5e85bddb20d0f2
https://doi.org/10.1007/978-3-030-79150-6_10
https://doi.org/10.1007/978-3-030-79150-6_10