Machine Learning, Optimization, and Data Science

Machine Learning, Optimization, and Data Science

  • Giuseppe Nicosia
  • Varun Ojha
  • Emanuele La Malfa
  • Gabriele La Malfa
  • Panos Pardalos
  • Giuseppe Di Fatta
  • Giovanni Giuffrida
  • Renato Umeton
Publisher:Springer NatureISBN 13: 9783031255991ISBN 10: 3031255992

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Know about the book -

Machine Learning, Optimization, and Data Science is written by Giuseppe Nicosia and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031255992 (ISBN 10) and 9783031255991 (ISBN 13).

This two-volume set, LNCS 13810 and 13811, constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022. The total of 84 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 226 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.