Learning

Professor School of Computer Science and Engineering & Cognitive Science, Brain Science, and Bioinformatics Seoul National University

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  

Statistics, Uncertainty Quantification, Computer experiments, Multi-fidelity computer codes, Gaussian process regression, Kriging, Co-kriging, Sensitivity analysis, Design of experiments, meta-modelling