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Machine Learning, Optimization, and Data Science

af Giuseppe Nicosia, Panos Pardalos, Giuseppe Di Fatta, Varun Ojha, Emanuele La Malfa, Renato Umeton, Giovanni Giuffrida, Gabriele La Malfa

indgår i Lecture Notes in Computer Science serien

Machine Learning, Optimization, and Data Science af Giuseppe Nicosia
Bag om Machine Learning, Optimization, and Data Science

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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783031255984
  • Indbinding:
  • Paperback
  • Sideantal:
  • 640
  • Udgivet:
  • 9. Marts 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 155x35x235 mm.
  • Vægt:
  • 955 g.
  • 2-3 uger.
  • 8. Oktober 2024
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Bag om Giuseppe Nicosia

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Beskrivelse af Machine Learning, Optimization, and Data Science

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.

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