TY - BOOK ID - 139030881 TI - Advances in Artificial Intelligence: Models, Optimization, and Machine Learning AU - Leon, Florin AU - Hulea, Mircea AU - Gavrilescu, Marius PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - large margin nearest neighbor regression KW - distance metrics KW - prototypes KW - evolutionary algorithm KW - approximate differential optimization KW - multiple point hill climbing KW - adaptive sampling KW - free radical polymerization KW - autonomous driving KW - object tracking KW - trajectory prediction KW - deep neural networks KW - stochastic methods KW - applied machine learning KW - classification and regression KW - data mining KW - ensemble model KW - engineering informatics KW - gender-based violence in Mexico KW - twitter messages KW - class imbalance KW - k-nearest neighbor KW - instance-based learning KW - graph neural network KW - deep learning KW - hyperparameters KW - machine learning KW - optimization KW - inference KW - metaheuristics KW - animal-inspired KW - exploration KW - exploitation KW - hot rolled strip steel KW - surface defects KW - defect classification KW - knockout tournament KW - dynamic programming algorithm KW - computational complexity KW - combinatorics KW - intelligent transport systems KW - traffic control KW - spatial-temporal variable speed limit KW - multi-agent systems KW - reinforcement learning KW - distributed W-learning KW - urban motorways KW - multi-agent framework KW - .NET framework KW - simulations KW - agent-based systems KW - agent algorithms KW - software design KW - multisensory fingerprint KW - interoperability KW - DeepFKTNet KW - classification KW - generative adversarial networks KW - image classification KW - transfer learning KW - plastic bottle KW - n/a UR - https://www.unicat.be/uniCat?func=search&query=sysid:139030881 AB - 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. ER -