Machine Learning, Optimization, and Data Science
7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I
Published on 1. February 2022
XXIV, 644 pages
978-3-030-95467-3 (ISBN)
Description
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.
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
XXIV, 644 p. 201 illus., 186 illus. in color.
File size
56,78 MB
ISBN-13
978-3-030-95467-3 (9783030954673)
DOI
10.1007/978-3-030-95467-3
Schweitzer Classification
Other editions
Additional editions
Giuseppe Nicosia | Varun Ojha | Emanuele La Malfa
Machine Learning, Optimization, and Data Science
7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I
Book
02/2022
Springer
€96.29
Shipment within 7-9 days
Content
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.
