E-bok, Engelska, 2023
Machine Learning, Optimization, and Data Science
Av Renato Umeton, Giovanni Giuffrida, Giuseppe Di Fatta, Panos Pardalos, Gabriele La Malfa, Emanuele La Malfa, Varun Ojha, Giuseppe Nicosia
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Beskrivning
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.
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.
Produktinformation
- Utgivningsdatum: 2023-03-08
- Språk: Engelska
- Filformat: EPUB
- Kopieringsskydd: LCP
- ISBN: 9783031255991
- Förlag: Springer Nature Switzerland
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