[Keynote speech]Modelling Spatial Variability of Non-stationary Geodata from Limited Measurements Using Gaussian Process Regression with Sparse Representation (GPR-SR)

Modelling Spatial Variability of Non-stationary Geodata from Limited Measurements Using Gaussian Process Regression with Sparse Representation (GPR-SR)
ID:161 View Protection:ATTENDEE Updated Time:2026-07-30 15:40:36 Hits:1 Keynote speech

Start Time:2026-08-10 15:45 (Asia/Hong_Kong)

Duration:20min

Session:[S5] Session 5 Geo-risk Assessment and Mitigation » [S5] Session 5 Day 2

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Abstract
Modelling Spatial Variability of Non-stationary Geodata from Limited Measurements Using Gaussian Process Regression with Sparse Representation (GPR-SR)
Keywords
Speaker
Yu WANG
Hong Kong University of Science and Technology

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