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nicosia giuseppe (curatore); ojha varun (curatore); la malfa emanuele (curatore); la malfa gabriele (curatore); jansen giorgio (curatore); pardalos panos m. (curatore); giuffrida giovanni (curatore); umeton renato (curatore) - 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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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 02/2022
Edizione: 1st ed. 2022





Trama

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.





Sommario

Deep Learning.- Machine Learning.- Reinforcement Learning.- Neural Networks.- Deep Reinforcement Learning.- Optimization.- Global Optimization.- Multi-Objective Optimization.- Computational Optimization.-Data Science.- Big Data.- Data Analytics.- Artificial Intelligence.










Altre Informazioni

ISBN:

9783030954666

Condizione: Nuovo
Collana: Lecture Notes in Computer Science
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:XXIV, 644 p. 201 illus., 186 illus. in color.
Pagine Arabe: 644
Pagine Romane: xxiv


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