Machine Learning, Optimization, and Big Data [electronic resource] : Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers / edited by Panos M. Pardalos, Piero Conca, Giovanni Giuffrida, Giuseppe Nicosia.
Contributor(s): Pardalos, Panos M [editor.] | Conca, Piero [editor.] | Giuffrida, Giovanni [editor.] | Nicosia, Giuseppe [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Computer Science: 10122Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XVIII, 456 p. 109 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319514697.Subject(s): Computer science | Computer system failures | Algorithms | Data mining | Artificial intelligence | Pattern recognition | Computer Science | Information Systems Applications (incl. Internet) | Algorithm Analysis and Problem Complexity | System Performance and Evaluation | Artificial Intelligence (incl. Robotics) | Pattern Recognition | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No titleDDC classification: 005.7 Online resources: Click here to access onlineMachine Learning -- Feature Selection -- Neural Networks -- Optimization -- Deep Learning -- Data Sciences -- Data Analytics -- Artificial Intelligence.
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.
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