Machine Learning, Optimization, and Data Science [E-Book] : 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II / edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton.
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 ful...
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Personal Name(s): | Giuffrida, Giovanni, editor |
Jansen, Giorgio, editor / La Malfa, Emanuele, editor / La Malfa, Gabriele, editor / Nicosia, Giuseppe, editor / Ojha, Varun, editor / Pardalos, Panos M., editor / Umeton, Renato, editor | |
Edition: |
1st edition 2022. |
Imprint: |
Cham :
Springer,
2022
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Physical Description: |
XXIV, 548 pages 145 illustrations, 123 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030954703 |
DOI: |
10.1007/978-3-030-95470-3 |
Series Title: |
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Information Systems and Applications, incl. Internet/Web, and HCI ;
13164 /* Depending on the record driver, $field may either be an array with "name" and "number" keys or a flat string containing only the series name. We should account for both cases to maximize compatibility. */?> Lecture Notes in Computer Science |
Subject (LOC): |
- Deep Learning
- Machine Learning
- Reinforcement Learning
- Neural Networks
- Deep Reinforcement Learning
- Optimization
- Global Optimization
- Multi-Objective Optimization
- Computational Optimization
- Data Science
- Big Data
- Data Analytics
- Artificial Intelligence.