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    Machine Learning, Optimization, and Data Science

Machine Learning, Optimization, and Data Science

Giuseppe Nicosia
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      This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020.The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
      Format: Paperback / softback CONTRIBUTORS: Giuseppe Nicosia EAN: 9783030645823 COUNTRY: Switzerland PAGES: WEIGHT: 1175 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2021-01-08 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / General, COMPUTERS / Human-Computer Interaction (HCI) WIDTH: 155 cm SPINE:

      Book Themes:

      Mathematical theory of computation, Machine learning

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      This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020.The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
      Format: Paperback / softback CONTRIBUTORS: Giuseppe Nicosia EAN: 9783030645823 COUNTRY: Switzerland PAGES: WEIGHT: 1175 g HEIGHT: 235 cm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2021-01-08 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / General, COMPUTERS / Human-Computer Interaction (HCI) WIDTH: 155 cm SPINE:

      Book Themes:

      Mathematical theory of computation, Machine learning

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      Be the first to write a review
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