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

• Record Nr.: UNISA996466425003316
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
• ISBN: 3-030-13709-0
• Edizione: [1st ed. 2019.]
• Descrizione fisica: 1 online resource (XXII, 562 p. 224 illus., 115 illus. in color.)
• Collana: Information Systems and Applications, incl. Internet/Web, and HCI ; ; 11331
• Disciplina: 006.31
• Soggetti: Application software; Machine learning; Algorithms; Data mining; Information Systems Applications (incl. Internet); Machine Learning; Algorithm Analysis and Problem Complexity; Data Mining and Knowledge Discovery
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• 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.