Machine Learning, Optimization, and Data Science - 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part II

This two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with  the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021.
The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.

Inhaltsverzeichnis

Deep Learning.- Machine Learning.- Reinforcement Learning.- Neural Networks.- Deep Reinforcement Learning.- Optimization.- Global Optimization.- Multi-Objective Optimization.- Computational Optimization.- Data Science.- Big Data.- Data Analytics.- Artificial Intelligence.

Produktdetails

• Mitarbeit: Giovanni Giuffrida (Herausgeber), Giorgio Jansen (Herausgeber), Emanuele La Malfa (Herausgeber), Gabriele La Malfa (Herausgeber), Emanuele La Malfa et al (Herausgeber), Giuseppe Nicosia (Herausgeber), Varun Ojha (Herausgeber), Panos M. Pardalos (Herausgeber), Renato Umeton (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 27.03.2022
• EAN: 9783030954697
• ISBN: 978-3-0-3095469-7
• Seiten: 548
• Abmessung: 155 mm x 30 mm x 235 mm
• Illustration: XXIV, 548 p. 145 illus., 123 illus. in color.
• Serien: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik