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Optimization and Learning

5th International Conference, OLA 2022, Syracuse, Sicilia, Italy, July 18–20, 2022, Proceedings

Bernabé Dorronsoro,Mario Pavone,Amir Nakib,El-Ghazali Talbi

Springer Nature Proceedings Computer Science

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À propos de ce livre

Langue :English
ISBN :9783031220395
Date de parution :28 mars 2025
Éditeur :Springer International Publishing

Marque éditoriale :Springer
Format de fichier :EPUB3
Taille de fichier :24.31 MB
Options de téléchargement :EPUB3 (Adobe DRM)

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Optimization and Learning

Résumé

À propos de ce livre

Détails du livre

Comment lire

In this series

Metaheuristics and Nature Inspired Computing

Optimization and Learning

Optimization and Learning

Metaheuristics and Nature Inspired Computing

Optimization and Learning

Lectures semblables

Gmdh-methodology And Implementation In Matlab

High-Performance Modelling and Simulation for Big Data Applications

Advances in Intelligent Data Analysis XVIII

Evolutionary Computation in Combinatorial Optimization

Advances in Intelligent Data Analysis XVII

Advances in Artificial Intelligence

Data Mining In Time Series And Streaming Databases

Machine Learning and Knowledge Discovery in Databases. Research Track

Artificial Life and Computational Intelligence

Evolutionary Multi-Criterion Optimization

Big Data Optimization: Recent Developments and Challenges

Learning and Intelligent Optimization

Evolutionary Multi-Criterion Optimization

Data Science and Big Data: An Environment of Computational Intelligence

Integration of Constraint Programming, Artificial Intelligence, and Operations Research

Integration of Constraint Programming, Artificial Intelligence, and Operations Research

Computer Information Systems and Industrial Management

Database and Expert Systems Applications

Network Science and Cybersecurity

Recent Developments in Metaheuristics

Evolutionary Computation in Combinatorial Optimization

Artificial Evolution

Computer and Information Sciences II

Machine Learning, Optimization, and Big Data

Evolutionary Computation in Combinatorial Optimization

Parallel Problem Solving from Nature – PPSN XVII

Advances in Big Data

Advances in Intelligent Data Analysis XIX

Innovations in Bio-Inspired Computing and Applications

Recent Developments and New Direction in Soft-Computing Foundations and Applications

Advanced Data Mining and Applications

Principles of Performance and Reliability Modeling and Evaluation

Advances in Machine Learning for Big Data Analysis

Efficient Learning Machines

Black Box Optimization, Machine Learning, and No-Free Lunch Theorems

Artificial Intelligence for Cyber-Physical Systems Hardening

Advances in Systems Science

Trends and Applications in Knowledge Discovery and Data Mining

Engineering Applications of Neural Networks

Learning and Intelligent Optimization

Intelligent Technologies: Concepts, Applications, and Future Directions

Evolutionary Computation in Combinatorial Optimization

Parallel Problem Solving from Nature – PPSN XVII

Discovery Science

Advances in Knowledge Discovery and Data Mining

Mobile, Secure, and Programmable Networking

Discovery Science

Integration of Constraint Programming, Artificial Intelligence, and Operations Research

Complex Networks & Their Applications VI

Machine Learning and Knowledge Discovery in Databases

Computer Safety, Reliability, and Security

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Applied Soft Computing and Communication Networks

Data Mining for Service

Computational Intelligence and Its Applications

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Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016

Advances in Intelligent Data Analysis XXI

Database and Expert Systems Applications

Database and Expert Systems Applications

Machine Learning and Knowledge Discovery in Databases

Information Sciences and Systems 2015

Hybrid Artificial Intelligent Systems

Intelligent Systems Design and Applications

Intelligent Decision Technologies 2016

Advances in Nature and Biologically Inspired Computing

Variable Neighborhood Search