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

The 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, and the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021, held their refereed proceedings in this two-volume set, LNCS 13163-13164. 86 full papers were presented, covering machine learning, AI, reinforcement learning, optimization, neuroscience, and data science, with leading scientists as authors.

Format: Paperback / softback
Length: 548 pages
Publication date: 02 February 2022
Publisher: Springer Nature Switzerland AG

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.

The first volume, LNCS 13163, focuses on machine learning, encompassing various sub-topics such as supervised learning, unsupervised learning, deep learning, and reinforcement learning. The papers in this volume explore innovative algorithms, techniques, and applications in various domains, including image recognition, natural language processing, speech recognition, and autonomous vehicles.

The second volume, LNCS 13164, delves into artificial intelligence and neuroscience, exploring the intersection of these two fields. The papers in this volume present novel approaches, models, and applications in areas such as brain-computer interfaces, cognitive modeling, decision-making, and artificial neural networks.

The conference proceedings feature contributions from renowned researchers and experts from around the world, providing a comprehensive overview of the latest advancements in machine learning, optimization, and data science. The papers cover a wide range of topics, including theoretical foundations, practical implementations, and real-world applications, making it an invaluable resource for researchers, practitioners, and students in these fields.

Overall, this two-volume set, LNCS 13163-13164, serves as a valuable contribution to the literature on machine learning, optimization, and data science. It provides a platform for researchers to share their latest findings, exchange ideas, and foster collaborations, contributing to the progress and development of these interdisciplinary areas.

Weight: 866g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030954697
Edition number: 1st ed. 2022