An Ontology-Based Concept for Meta AutoML-Reference-Cited by-同舟云学术

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An Ontology-Based Concept for Meta AutoML

Published:2021 Issue: Volume: Page:117-128
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
language:
Short-container-title:

Author:

Humm Bernhard G.^ORCID,Zender Alexander^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-79150-6_10

Reference28 articles.

1. Abadi, M., et al.: Tensorflow: Large-scale machine learning on heterogeneous distributed systems. https://arxiv.org/pdf/1603.04467

2. Buschmann, F., Meunier, R., Rohnert, H., Sommerlad, P., Stal, M.: Pattern-Oriented Software Architecture, A System of Patterns. Wiley Software Patterns Series, Wiley, s.l., 1. aufl. edn. (2013)

3. Chollet, F.: Keras (2021). https://keras.io

4. Cyganiak, R., Wood, D., Lanthaler, M.: Rdf 1.1 concepts and abstract syntax (2021). https://www.w3.org/TR/rdf11-concepts/

5. Feurer, M., Eggensperger, K., Falkner, S., Lindauer, M., Hutter, F.: Auto-sklearn 2.0: The next generation. https://arxiv.org/pdf/2007.04074

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3. Multimodal AutoML via Representation Evolution;Machine Learning and Knowledge Extraction;2022-12-23

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