Sie haben keine Artikel im Warenkorb.

Machine Learning, Optimization, and Data Science (eBook)

9th International Conference, LOD 2023, Grasmere, UK, September 22-26, 2023, Revised Selected Papers, Part I
CHF 106.50
ISBN: 978-3-031-53969-5
GTIN: 9783031539695
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
+ -

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.

*
*
*
*

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.

Autor Nicosia, Giuseppe (Hrsg.) / Ojha, Varun (Hrsg.) / La Malfa, Emanuele (Hrsg.) / La Malfa, Gabriele (Hrsg.) / Pardalos, Panos M. (Hrsg.) / Umeton, Renato (Hrsg.)
Verlag Springer Nature Switzerland
Einband PDF
Erscheinungsjahr 2024
Seitenangabe 515 S.
Ausgabekennzeichen Englisch
Abbildungen XXII, 515 p. 193 illus., 152 illus. in color.
Masse 51'243 KB
Plattform PDF
Reihe Lecture Notes in Computer Science

Weitere Titel von Giuseppe (Hrsg.) Nicosia

Alle Bände der Reihe "Lecture Notes in Computer Science"