Machine Learning, Optimization, and Big Data - Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers

This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016.
The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions. These proceedings contain papers in the fields of Machine Learning, Computational Optimization and DataScience presenting a substantial array of ideas, technologies, algorithms, methods and applications.

Inhaltsverzeichnis

Machine Learning.- Feature Selection.- Neural Networks.- Optimization.- Deep Learning.- Data Sciences.- Data Analytics.- Artificial Intelligence.

Zusammenfassung

This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016.
The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions. These proceedings contain papers in the fields of Machine Learning, Computational Optimization and DataScience presenting a substantial array of ideas, technologies, algorithms, methods and applications.

Produktdetails

• Mitarbeit: Pier Conca (Herausgeber), Piero Conca (Herausgeber), Giovanni Giuffrida (Herausgeber), Giovanni Giuffrida et al (Herausgeber), Giuseppe Nicosia (Herausgeber), Panos M. Pardalos (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 01.01.2016
• EAN: 9783319514680
• ISBN: 978-3-31-951468-0
• Seiten: 456
• Abmessung: 187 mm x 27 mm x 244 mm
• Gewicht: 715 g
• Illustration: XVIII, 456 p. 109 illus.
• Serien: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI; Springer; Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Anwendungs-Software