Advances in artificial intelligence: models, optimization, and machine learning

Advances in artificial intelligence: models, optimization, and machine learning

Author
Florin Leon, Mircea Hulea and Marius Gavrilescu
Publication Year
2022
Publisher
MDPI
Language
English
Document Type
Book
Faculty / Subject Heading
Computer Science

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.


Keywords: Addition polymerization / Classification / Combinatorial analysis / Computational / complexity / Data mining / Exploitation / Inference / Machine learning / Metaheuristics / Multiagent systems / Reinforcement learning / Software Design