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



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Autore: Leon Florin Visualizza persona
Titolo: Advances in Artificial Intelligence: Models, Optimization, and Machine Learning Visualizza cluster
Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica: 1 electronic resource (362 p.)
Soggetto topico: Research & information: general
Mathematics & science
Soggetto non controllato: 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
Persona (resp. second.): HuleaMircea
GavrilescuMarius
LeonFlorin
Sommario/riassunto: 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.
Altri titoli varianti: Advances in Artificial Intelligence
Titolo autorizzato: Advances in Artificial Intelligence: Models, Optimization, and Machine Learning  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910580212403321
Lo trovi qui: Univ. Federico II
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