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Bayesian approach to Gaussian process regression with uncertain inputs
Dongwei Ye
, Mengwu Guo
Digital Society Institute
Mathematics of Imaging & AI
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Earth and Planetary Sciences
Kriging
100%
Input
100%
Datum
57%
Output
28%
Position (Location)
28%
Marginalization
14%
Convention
14%
Assumption
14%
Existence
14%
Model
14%
Effectiveness
14%
Inference
14%
Prediction
14%
Observation
14%
Regression
14%
Error
14%
Variability
14%
Utilization
14%
Good
14%
Generalisation
14%
Mathematics
Bayesian Approach
100%
Bayesian
66%
Prediction
33%
Numerical Example
33%
Posterior Distribution
33%
Marginalization
33%
Observational Data
33%
Modeling
33%
Statistical Dispersion
33%
Input Data
33%
Bayesian Inference
33%
Measurement Error
33%
Computer Science
Bayesian Approach
100%
Gaussian Process
100%
Numerical Example
25%
Models
25%
Good Performance
25%
Marginalization
25%
Measurement Error
25%
Bayesian Framework
25%
Observational Data
25%
Scientific Application
25%
Posterior Distribution
25%
Location Data
25%
Engineering Application
25%
Economics, Econometrics and Finance
Gaussian Process
100%
Bayesian
100%
Location
50%
Social Sciences
Bayesian Method
25%