Machine Learning, Optimization, and Data Science : 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II / / edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos Pardalos, Giovanni Giuffrida, Renato Umeton

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XXXVIII, 666 p. 211 illus., 179 illus. in color.)
• Disciplina: 006.31
• Soggetto topico: Social sciences - Data processing; Machine learning; Education - Data processing; Artificial intelligence; Computers; Computer Application in Social and Behavioral Sciences; Machine Learning; Computers and Education; Artificial Intelligence; Computing Milieux
• Persona (resp. second.): NicosiaGiuseppe
• Note generali: Includes index.
• Sommario/riassunto: This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields 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
• ISBN: 3-030-64580-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910447246803321
• Lo trovi qui: Univ. Federico II
• Serie: Information Systems and Applications, incl. Internet/Web, and HCI, . 2946-1642 ; ; 12566