Machine Learning, Optimization, and Data Science
5th International Conference, LOD 2019, Siena, Italy, September 10–13, 2019, Proceedings
Editors: Nicosita, G., Pardalos, P., Umeton, R., Giuffrida, G., Sciacca, V. (Eds.)
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- About this book
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This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, held in Siena, Italy, in September 2019. The 54 full papers presented were carefully reviewed and selected from 158 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.
- Table of contents (64 chapters)
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Deep Neural Network Ensembles
Pages 1-12
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Driver Distraction Detection Using Deep Neural Network
Pages 13-23
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Deep Learning Algorithms for Complex Pattern Recognition in Ultrasonic Sensors Arrays
Pages 24-35
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An Information Analysis Approach into Feature Understanding of Convolutional Deep Neural Networks
Pages 36-44
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Stochastic Weight Matrix-Based Regularization Methods for Deep Neural Networks
Pages 45-57
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Table of contents (64 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Machine Learning, Optimization, and Data Science
- Book Subtitle
- 5th International Conference, LOD 2019, Siena, Italy, September 10–13, 2019, Proceedings
- Editors
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- Giuseppe Nicosita
- Panos Pardalos
- Renato Umeton
- Giovanni Giuffrida
- Vincenzo Sciacca
- Series Title
- Information Systems and Applications, incl. Internet/Web, and HCI
- Series Volume
- 11943
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-37599-7
- DOI
- 10.1007/978-3-030-37599-7
- Softcover ISBN
- 978-3-030-37598-0
- Edition Number
- 1
- Number of Pages
- XXVI, 772
- Number of Illustrations
- 65 b/w illustrations, 160 illustrations in colour
- Topics
