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" Machine learning, optimization, and data science : "
Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton, Vincenzo Sciacca (eds.).
Document Type
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BL
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Record Number
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861088
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Main Entry
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International Conference on Machine Learning, Optmization, and Data Science(4th :2018 :, Volterra, Italy)
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Title & Author
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Machine learning, optimization, and data science : : 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised selected papers /\ Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton, Vincenzo Sciacca (eds.).
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Publication Statement
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Cham, Switzerland :: Springer,, 2019.
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Series Statement
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Lecture notes in computer science ;; 11331
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LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI
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Page. NO
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1 online resource (xxii, 562 pages) :: illustrations (some color)
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ISBN
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3030137082
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: 3030137090
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: 3030137104
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: 9783030137083
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: 9783030137090
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: 9783030137106
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9783030137083
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Notes
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Includes author index.
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Contents
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Machine learning -- Artificial intelligence -- Reinforcement learning -- Computational optimization -- Data science presenting -- Deep learning -- Big data -- Data analytics -- Neural networks.
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Abstract
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This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data Science, LOD 2018, held in Volterra, Italy, in September 2018. The 46 full papers presented were carefully reviewed and selected from 126 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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Subject
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Machine learning, Congresses.
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Subject
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Mathematical optimization, Congresses.
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Subject
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Machine learning.
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Subject
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Mathematical optimization.
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Dewey Classification
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006.3/1
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LC Classification
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Q325.5
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Added Entry
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Giuffrida, Giovanni
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Nicosia, Giuseppe
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Pardalos, P. M., (Panos M.),1954-
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Sciacca, Vincenzo
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Umeton, Renato
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Parallel Title
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LOD 2018
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