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Editore: Springer, Berlin|Springer Nature Switzerland|Springer, 2024
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning, Optimization, and Data Science, LOD 2023, which took place in Grasmere, UK, in September 2023.The 72 full papers included in this book were carefully reviewed and selected from 119 submissions. The proceedings also contain 9 papers from and the Third Symposium on Artificial Intelligence and Neuroscience, ACAIN 2023. The contributions focus on the state of the art and the latest advances in the integration of machine learning, deep learning, nonlinear optimization and data science to provide and support the scientific and technological foundations for interpretable, explainable and trustworthy AI.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 508 pp. Englisch.
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ISBN 10: 3031539656 ISBN 13: 9783031539657
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Machine Learning, Optimization, and Data Science | 9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part II | Giuseppe Nicosia (u. a.) | Taschenbuch | xxii | Englisch | 2024 | Springer | EAN 9783031539657 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning, Optimization, and Data Science, LOD 2023, which took place in Grasmere, UK, in September 2023.The 72 full papers included in this book were carefully reviewed and selected from 119 submissions. The proceedings also contain 9 papers from and the Third Symposium on Artificial Intelligence and Neuroscience, ACAIN 2023. The contributions focus on the stateof the art and the latest advances in the integration of machine learning, deeplearning, nonlinear optimization and data science to provide and support thescientific and technological foundations for interpretable, explainable and trustworthy AI. 508 pp. Englisch.