The following special issue contains 14 articles accepted and published in the Special Issue ""Mathematics and Computer Science, 2024"" of the MDPI journal Mathematics. The included articles cover a wide range of topics related to the theory and applications of Machine Learning and Data Mining, as well as their extensions and generalizations. These topics include, but are not limited to, supervised, unsupervised, and self-learning methods; large-scale data mining; applicable neural networks and artificial intelligence; neural network-based industrial applications; neural models for natural language processing; deep learning for health informatics and biomedical engineering; graph convolutional neural networks and their applications; deep reinforcement learning and its applications; deep sparse and low-rank representation; and computer vision and pattern recognition techniques. In addition to these core areas, the authors of the included articles also delve into advanced methodologies and innovative approaches within these fields. The collection aims to provide comprehensive insights into recent advancements and emerging trends in Machine Learning and Data Mining, making it a valuable resource for researchers, practitioners, and students interested in the latest developments in these dynamic disciplines.
Guest editor:
Mingbo Zhao, Haijun Zhang, Zhou Wu Imprint: Mdpi AG Dimensions:
Height: 244mm,
Width: 170mm,
Spine: 22mm
Weight: 771g ISBN:9783725819256 ISBN 10: 3725819254 Pages: 264 Publication Date:20 August 2024 Audience:
General/trade
,
ELT Advanced
Format:Hardback Publisher's Status: Active