Machine Learning, Optimization, and Data Science / Lecture Notes in Computer Science Bd.13163 (PDF)
7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I
(Sprache: Englisch)
This two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and...
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Produktinformationen zu „Machine Learning, Optimization, and Data Science / Lecture Notes in Computer Science Bd.13163 (PDF)“
This two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021.
The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
Bibliographische Angaben
- 2022, 1st ed. 2022, 644 Seiten, Englisch
- Herausgegeben: Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton
- Verlag: Springer International Publishing
- ISBN-10: 3030954676
- ISBN-13: 9783030954673
- Erscheinungsdatum: 01.02.2022
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 54 MB
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Englisch
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