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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Detalhes bibliográficos
Formato:	Online
Idioma:	inglês
Publicado em:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Assuntos:	large margin nearest neighbor regression distance metrics prototypes evolutionary algorithm approximate differential optimization multiple point hill climbing adaptive sampling free radical polymerization autonomous driving object tracking trajectory prediction deep neural networks stochastic methods applied machine learning classification and regression data mining ensemble model engineering informatics gender-based violence in Mexico twitter messages class imbalance k-nearest neighbor instance-based learning graph neural network deep learning hyperparameters machine learning optimization inference metaheuristics animal-inspired exploration exploitation hot rolled strip steel surface defects defect classification knockout tournament dynamic programming algorithm computational complexity combinatorics intelligent transport systems traffic control spatial-temporal variable speed limit multi-agent systems reinforcement learning distributed W-learning urban motorways multi-agent framework .NET framework simulations agent-based systems agent algorithms software design multisensory fingerprint interoperability DeepFKTNet classification generative adversarial networks image classification transfer learning plastic bottle n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science
Acesso em linha:	ONIX_20220706_9783036545158_122
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ONIX_20220706_9783036545158_122

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

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