A technique for use of Gaussian Processes in advanced meta-modeling

SAE Technical Papers

Volumn , Issue , 2003, Pages

  Hollingsworth, Peter ^a   Mavris, Dimitri N ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; PRODUCT DESIGN;

COMPUTATIONAL EFFORT; COMPUTATIONALLY EFFICIENT; GAUSSIAN PROCESS; GAUSSIAN PROCESSES; META-MODELING TECHNIQUE; NON-LINEAR PHENOMENA; RESPONSE SURFACE; ROBUST DESIGN METHODS;

GAUSSIAN NOISE (ELECTRONIC);

EID: 85072412622     PISSN: 01487191     EISSN: 26883627     Source Type: Journal    
DOI: 10.4271/2003-01-3051     Document Type: Conference Paper

References (7)

1. Bailer-Jones C. A. L., A Summary of Gaussian Processes, white paper, Canvedish Laboratory, University of Cambridge, Cambridge, England, UK.
2. Gibbs Mark N., Bayesian Gaussian Processes for Regression and Classification. PhD Thesis, University of Cambridge, 1997, pages 11.
3. Storkey Amos James, Efficient Covariance Matrix Methods for Bayesian Gaussian Processes and Hop-field Neural Networks. PhD Thesis, Imperial College, University of London, 1999, pages 22-64.
4. Daberkow Debora D., Mavris Dimitri N., "An Investigation of Metamodeling Techniques for Complex Systems Design" Presented at the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Atlanta, GA, September 4-6, 2002.
5. Rasmussen Carl Edward, Evaluation of Gaussian Processes and other Methods for Non-Linear Regression. PhD Thesis, Department of Computer Science, University of Toronto, 1996, pages 56-60.
6. Daberkow Debora D., A Formulation of Metamodel Implementation Processes for Complex Systems Design. PhD Thesis, School of Aerospace Engineering, Georgia Institute of Technology, 2002.
7. MacKay David J. C., "Introduction to Gaussian Processes" paper, Department of Physics, University of Cambridge, Cambridge, England, UK, 1998.