machine Research Gate Efficient and Robust Gradient Enhanced Kriging Emulators Using Statistical and Computer Models to Quantify Volcanic Hazards UQ12 – MS1-3 Effective and Efficient Handling of Ill-Conditioned Correlation Matrices in Kriging and Gradient Enhanced Kriging Emulators through Pivoted Cholesky Factorization – link slides – (link video) Effective & Efficient Handling of Ill – Conditioned Correlation … Read more
Automatic Model Construction with Gaussian Processes- PhD Thesis Assistant professor at the University of Toronto Github : code & PhD Thesis
Thang Bui, 4th year PhD student Machine Learning Group Computational and Biological Learning Lab University of Cambridge
Professor in the Machine Learning Group of the Computational and Biological Learning Lab in the Division of Information Engineering at the Department of Engineering in Cambridge Computational and Biological Engineering – Cambridge
Carl Edward Rasmussen
Biography Lecture Slides for Machine Learning Lecture Slides for Probabilistic Graphical Models Deep Learning
Gaussian Process
Statistics, Uncertainty Quantification, Computer experiments, Multi-fidelity computer codes, Gaussian process regression, Kriging, Co-kriging, Sensitivity analysis, Design of experiments, meta-modelling
Numerical studies of the metamodel fitting and validation processesMETAMODELS FOR COMPUTER-BASED ENGINEERING DESIGN: SURVEY AND RECOMMENDATIONS Surrogate Modeling for Uncertainty Assessment with Application to Aviation Environmental System Models Sensitivity analysis with dependence and variance-based measures for spatio-temporal numerical simulators Numerical studies of the metamodel fitting and validation processes A Framework for Evaluating Meta-models for Simulation-based … Read more