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Machine Learning, Optimization, and Data Science

Machine Learning, Optimization, and Data Science 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I

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Lecture Notes in Computer Science Information Systems and Applications, incl. Internet/Web, and HCI

Machine Learning, Optimization, and Data Science

7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part I

Giuseppe Nicosia | Varun Ojha | Emanuele La Malfa | Gabriele La Malfa | Giorgio Jansen | Panos M. Pardalos | Giovanni Giuffrida | Renato Umeton

Computers / Business & Productivity Software / General

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.


Publication Date: 02 February 2022
Publisher: Springer International Publishing
Imprint: Springer
ISBN-13: 9783030954666
Format: Paperback / softback
Page Count: 644

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