Machine Learning, Optimization, and Data Science 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Nicosia, Giuseppe (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pardalos, Panos (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Giuffrida, Giovanni (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Umeton, Renato (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sciacca, Vincenzo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Information Systems and Applications, incl. Internet/Web, and HCI ; 11331
• Θέματα: Application software.; Machine learning.; Algorithms.; Data mining.; Information Systems Applications (incl. Internet).; Machine Learning.; Algorithm Analysis and Problem Complexity.; Data Mining and Knowledge Discovery.

 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. 

 Machine learning -- Artificial intelligence -- Reinforcement learning -- Computational optimization -- Data science presenting -- Deep learning -- Big data -- Data analytics -- Neural networks.