An empirical evaluation of robust gaussian process models for system identification

Computer Science

• gaussian process model 100%
• System Identification 100%
• Gaussian Process 66%
• Gaussian White Noise 33%
• Benchmarking Dataset 33%
• Dynamical System 33%
• Prediction Error 33%

Engineering

• Gaussians 100%
• Gaussian White Noise 25%
• Tasks 25%
• Black Box 25%
• Prediction Error 25%

Keyphrases

• Nonlinear Tools 33%
• Engineering Controls 33%
• Engineering Economy 33%
• Identification Task 33%