Machine Learning, Optimization, and Data Science: 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 18-22, 2022, Revised Selected Papers, Part II

The 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, and the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022, held their refereed proceedings in this two-volume set, LNCS 13810 and 13811. 84 full papers were presented, covering machine learning, AI, neuroscience, optimization, and data science, with leading experts in the field contributing their research.

Format: Paperback / softback
Length: 582 pages
Publication date: 10 March 2023
Publisher: Springer International Publishing AG

The 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, and the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022, were both held in conjunction with this two-volume set of refereed proceedings, LNCS 13810 and 13811. A total of 84 full papers were presented in this comprehensive post-conference proceedings set, after a rigorous review and selection process involving 226 submissions. These cutting-edge research articles were authored by renowned experts in the domains of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science, offering a diverse range of innovative ideas, technologies, algorithms, methodologies, and applications.

The first volume of LNCS 13810, titled "Machine Learning," encompasses a wide range of topics, including supervised learning, unsupervised learning, transfer learning, deep learning, and reinforcement learning. The papers in this volume explore novel algorithms, techniques, and applications in various fields, such as computer vision, natural language processing, healthcare, finance, and robotics.

The second volume of LNCS 13810, titled "Optimization," focuses on computational optimization techniques and algorithms for solving complex problems in various domains. The papers in this volume discuss optimization methods for machine learning, mathematical programming, scheduling, and logistics, as well as their applications in energy systems, transportation, and manufacturing.

The first volume of LNCS 13811, titled "Artificial Intelligence and Neuroscience," explores the intersection of artificial intelligence and neuroscience. The papers in this volume discuss the use of neural networks, machine learning, and cognitive neuroscience to understand and model human behavior, cognition, and decision-making.

The second volume of LNCS 13811, titled "Reinforcement Learning," focuses on the theory and practice of reinforcement learning. The papers in this volume discuss various reinforcement learning algorithms, such as policy search, value learning, and deep reinforcement learning, and their applications in robotics, game playing, and autonomous systems.

Overall, this two-volume set of refereed proceedings provides a comprehensive overview of the latest advancements in machine learning, optimization, and data science. The contributions of the authors and presenters showcase the state-of-the-art research and innovative technologies in these fields, and will be valuable to researchers, practitioners, and students alike.

Weight: 920g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031258909
Edition number: 1st ed. 2023