Machine Learning, Optimization, and Data Science  7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I /  [electronic resource] : 
edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Giorgio Jansen, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton. 
 - 1st ed. 2022. 
 - XXIV, 644 p. 201 illus., 186 illus. in color.  online resource. 
 - Information Systems and Applications, incl. Internet/Web, and HCI,  13163  2946-1642 ; .
 - Information Systems and Applications, incl. Internet/Web, and HCI,  13163 .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783030954673 
<br/><br/><label>Standard No.: </label>10.1007/978-3-030-95467-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Application software.<br/>Computer and Information Systems Applications.
<br/><br/><label>LC Class. No.: </label>QA76.76.A65 
<br/><br/><label>Dewey Class. No.: </label>005.3