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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.
Materialtyp:
TextSerie: Utgivningsuppgift: Cham : Springer International Publishing : Imprint: Springer, 2016Utgåva: 1st ed. 2016Beskrivning: XVIII, 456 p. 109 illus. online resourceInnehållstyp: - text
- computer
- online resource
- 9783319514697
- Computer and Information Systems Applications
- Algorithms
- System Performance and Evaluation
- Artificial Intelligence
- Automated Pattern Recognition
- Data Mining and Knowledge Discovery
- Application software
- Algorithms
- Electronic digital computers -- Evaluation
- Artificial intelligence
- Pattern recognition systems
- Data mining
- 005.3 23
Innehåll:
Sammanfattning: 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.
Machine Learning -- Feature Selection -- Neural Networks -- Optimization -- Deep Learning -- Data Sciences -- Data Analytics -- Artificial Intelligence.
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Machine 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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