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

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.

List of contents

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.

Product details

• Assisted by: Giovanni Giuffrida (Editor), Giorgio Jansen (Editor), Emanuele La Malfa (Editor), Gabriele La Malfa (Editor), Emanuele La Malfa et al (Editor), Giuseppe Nicosia (Editor), Varun Ojha (Editor), Panos M. Pardalos (Editor), Renato Umeton (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 07.04.2022
• EAN: 9783030954666
• ISBN: 978-3-0-3095466-6
• No. of pages: 644
• Dimensions: 155 mm x 35 mm x 235 mm
• Illustrations: XXIV, 644 p. 201 illus., 186 illus. in color.
• Series: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software