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Machine Learning, Optimization, and Data Science [[electronic resource] ] : 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers / / edited by Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton, Vincenzo Sciacca



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Titolo: Machine Learning, Optimization, and Data Science [[electronic resource] ] : 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers / / edited by Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton, Vincenzo Sciacca Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (XXII, 562 p. 224 illus., 115 illus. in color.)
Disciplina: 006.31
Soggetto topico: Application software
Machine learning
Algorithms
Data mining
Information Systems Applications (incl. Internet)
Machine Learning
Algorithm Analysis and Problem Complexity
Data Mining and Knowledge Discovery
Persona (resp. second.): NicosiaGiuseppe
PardalosPanos
GiuffridaGiovanni
UmetonRenato
SciaccaVincenzo
Nota di bibliografia: Includes bibliographical references and indexes.
Nota di contenuto: Machine learning -- Artificial intelligence -- Reinforcement learning -- Computational optimization -- Data science presenting -- Deep learning -- Big data -- Data analytics -- Neural networks.
Sommario/riassunto: This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018. The 46 full papers presented were carefully reviewed and selected from 126 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.
Titolo autorizzato: Machine learning, optimization, and data science  Visualizza cluster
ISBN: 3-030-13709-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996466425003316
Lo trovi qui: Univ. di Salerno
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Serie: Information Systems and Applications, incl. Internet/Web, and HCI ; ; 11331