Gaussian Processes in Response Surface Modeling
Laura P. Swiler
machine
GAUSSIAN PROCESS ADAPTIVE IMPORTANCE SAMPLING
Keith Dalbey & Laura Swiler
The ReDICE Consortium
ReDICE was a research project (2011-2015) gathering industry and academia partners around innovative mathematical methods for the design and analysis of computer experiments.
Publications
Genetic Programming – Computers using “Natural Selection” to generate programs The Future of Genetic Programming – slides
Publications
An As-Short-As-Possible Introduction to the Least Squares, Weighted Least Squares and Moving Least Squares Methods for Scattered Data Approximation and Interpolation THE APPROXIMATION POWER OF MOVING LEAST-SQUARES Moving Least Squares Approximation Moving Least-squares Approximations for Linearly-solvable MDP Surfaces generated by Moving Least Squares Methods Least Squares Methods – What is SPH ? MOVING LEAST SQUARES … Read more
References
An As-Short-As-Possible Introduction to the Least Squares, Weighted Least Squares and Moving Least Squares Methods for Scattered Data Approximation and Interpolation
Richard A. Davis
Columbia University
Chloé-Agathe Azencott : MSc Data Sciences Business Analytics – CentraleSupélec and ESSEC Business School
MSc in Data Sciences and Business Analytics – Machine learning courses
Chloé-Agathe Azencott
Researcher at the Centre for Computational Biology (CBIO) of Mines ParisTech, Institut Curie and INSERM Machine learning for therapeutic research