Skip to content
VuFind
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
    • 日本語
    • Nederlands
    • Português
    • Português (Brasil)
    • 中文(简体)
    • 中文(繁體)
    • Türkçe
    • עברית
    • Gaeilge
    • Cymraeg
    • Ελληνικά
    • Català
    • Euskara
    • Русский
    • Čeština
    • Suomi
    • Svenska
    • polski
    • Dansk
    • slovenščina
    • اللغة العربية
    • বাংলা
    • Galego
    • Tiếng Việt
    • Hrvatski
    • हिंदी
    • Հայերէն
    • Українська
Napredno
  • A Gentle Introduction to Data,...
  • Citiraj
  • Pošljite SMS
  • Pošljite email
  • Natisni
  • Izvozi zadetek
    • Izvozi v RefWorks
    • Izvozi v EndNoteWeb
    • Izvozi v EndNote
  • Permanent link
A Gentle Introduction to Data, Learning, and Model Order Reduction Techniques and Twinning Methodologies /

A Gentle Introduction to Data, Learning, and Model Order Reduction Techniques and Twinning Methodologies /

Bibliografske podrobnosti
Main Authors: Chinesta, Francisco (Author), Cueto, Elías (Author), Champaney, Victor (Author), Ghnatios, Chady (Author), Ammar, Amine (Author), Hascoët, Nicolas (Author), González, David (Author), Alfaro, Icíar (Author), Di Lorenzo, Daniele (Author), Pasquale, Angelo (Author), Baillargeat, Dominique (Author)
Korporativna značnica: SpringerLink (Online service)
Izvleček:XVI, 227 p. 33 illus., 29 illus. in color.
text
Jezik:angleščina
Izdano: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Izdaja:1st ed. 2025.
Serija:Studies in Big Data, 174
Teme:
Computational intelligence.
Mathematics > Data processing.
Machine learning.
Computational Intelligence.
Computational Science and Engineering.
Machine Learning.
Online dostop:https://doi.org/10.1007/978-3-031-87572-4
Format: Elektronski Knjiga
  • Zaloga
  • Opis
  • Kazalo
  • Podobne knjige/članki
  • Knjižničarski pogled

Internet

https://doi.org/10.1007/978-3-031-87572-4

Podobne knjige/članki

  • Blended Learning: Convergence between Technology and Pedagogy
    Izdano: (2020)
  • Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough Latest Trends in AI, Volume 2 /
    Izdano: (2021)
  • Federated Learning Systems Towards Next-Generation AI /
    Izdano: (2021)
  • Innovations in Biomedical Engineering
    Izdano: (2019)
  • Metaheuristics in Machine Learning: Theory and Applications
    Izdano: (2021)