Advances in Artificial Intelligence: Models, Optimization, and Machine Learning

The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning” of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelli...

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Médium:	E-kniha
Jazyk:	English
Vydavateľské údaje:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Predmet:	adaptive sampling agent algorithms agent-based systems animal-inspired applied machine learning approximate differential optimization autonomous driving class imbalance classification classification and regression combinatorics computational complexity data mining deep learning deep neural networks DeepFKTNet defect classification distance metrics distributed W-learning dynamic programming algorithm engineering informatics ensemble model evolutionary algorithm exploitation exploration free radical polymerization gender-based violence in Mexico generative adversarial networks graph neural network hot rolled strip steel hyperparameters image classification inference instance-based learning intelligent transport systems interoperability k-nearest neighbor knockout tournament large margin nearest neighbor regression machine learning Mathematics and Science metaheuristics multi-agent framework multi-agent systems multiple point hill climbing multisensory fingerprint n/a NET framework object tracking optimization plastic bottle prototypes Reference, Information and Interdisciplinary subjects reinforcement learning Research and information: general simulations software design spatial-temporal variable speed limit stochastic methods surface defects traffic control trajectory prediction transfer learning twitter messages urban motorways
ISBN:	3036545166, 9783036545165, 3036545158, 9783036545158
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Shrnutí:	The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning” of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems. We hope that the scientific results presented in this book will serve as valuable sources of documentation and inspiration for anyone willing to pursue research in artificial intelligence, machine learning and their widespread applications.
ISBN:	3036545166 9783036545165 3036545158 9783036545158
DOI:	10.3390/books978-3-0365-4516-5