Skip to content

machine-learning-2020

  • Home
  • ML-101
  • ML-102
  • Books
  • Learning
    • DataBase
    • Tutorial
    • Lectures
    • Videos
    • Computer Experiments
    • References
    • PhD Thesis
      • English
      • French
  • Applications
    • TCAD-EDA
    • Semiconductor
    • Software
      • SCIKITLEARN
      • Sandia National Laboratories
        • DAKOTA
        • Publications
  • Machine Learning Techniques
    • General Papers
    • Gaussian Process
      • Gaussian Process : PhD Thesis
      • Publications
    • Artificial Neural Networks
    • Genetic Algorithm
    • Meta-Models
    • Genetic Programming
    • Least Squares, Weighted Least Squares, Moving Least Squares Methods

SIMULATION METAMODELING AND OPTIMIZATION WITH AN ADDITIVE GLOBAL AND LOCAL GAUSSIAN PROCESS MODEL FOR STOCHASTIC SYSTEMS

MENG QUN

AN ADDITIVE GLOBAL AND LOCAL GAUSSIAN PROCESS MODEL FOR LARGE DATA SETS

 

Post navigation
Training neural network: maximum likelihood vs. minimum error
Dr NG Szu Hui – Department of Industrial Systems Engineering and Management National University of Singapore
© 2025 machine-learning-2020 • Built with GeneratePress