Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11943)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Included in the following conference series:
Conference proceedings info: LOD 2019.
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About this book
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.
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Keywords
- artificial intelligence
- big data
- data analytics
- data mining
- data science
- deep reinforcement learning
- evolutionary algorithms
- genetic algorithms
- global optimization
- learning algorithms
- machine learning
- machine learning techniques
- multiobjective optimization
- neural networks
- optimization
- reinforcement learning
Table of contents (64 papers)
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Front Matter
Other volumes
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Machine Learning, Optimization, and Data Science
Editors and Affiliations
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: Giuseppe Nicosia, Panos Pardalos, Renato Umeton, Giovanni Giuffrida, Vincenzo Sciacca
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-37599-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-37598-0Published: 04 January 2020
eBook ISBN: 978-3-030-37599-7Published: 03 January 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXVI, 772
Number of Illustrations: 65 b/w illustrations, 160 illustrations in colour
Topics: Information Systems Applications (incl. Internet), Artificial Intelligence, Data Mining and Knowledge Discovery