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Machine Learning, Optimization, and Data Science: 7th...

Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part II (Lecture Notes in Computer Science, 13164)

Giuseppe Nicosia (editor), Varun Ojha (editor), Emanuele La Malfa (editor), Gabriele La Malfa (editor), Giorgio Jansen (editor), Panos M. Pardalos (editor), Giovanni Giuffrida (editor), Renato Umeton (editor)
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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.​
Année:
2022
Edition:
1st ed. 2022
Editeur::
Springer
Langue:
english
Pages:
572
ISBN 10:
3030954692
ISBN 13:
9783030954697
Fichier:
PDF, 45.69 MB
IPFS:
CID , CID Blake2b
english, 2022
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