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

Approximate Methods for Propagation of Uncertainty with Gaussian Process Models

Agathe Girard

 

Post navigation
Efficient Reinforcement Learning using Gaussian Processes
Gaussian Process Models for Robust Regression, Classification, and Reinforcement Learning
© 2025 machine-learning-2020 • Built with GeneratePress