Multi-Kernel Correntropy Regression: Robustness, Optimality, and Application on Magnetometer Calibration

Computer Science

• Conventional Method 100%
• Parameter Vector 100%
• Heavy Tailed Noise 100%
• Likelihood Estimation 50%
• maximum-likelihood 50%
• Numerical Simulation 50%
• Gaussian White Noise 50%
• Regression Problem 50%
• Equality Constraint 50%
• Inequality Constraint 50%
• Nonlinear Regression 50%
• Tail Distribution 50%
• Kernel Bandwidth 50%

Engineering

• Optimality 100%
• Gaussians 100%
• Conventional Method 33%
• Parameter Vector 33%
• Heavy Tailed Noise 33%
• Demonstrates 16%
• Computer Simulation 16%
• Assuming 16%
• Maximum Likelihood Estimation 16%
• Gaussian White Noise 16%
• Maximization 16%
• Numerical Experiment 16%
• Expectation Maximization Algorithm 16%
• Inequality Constraint 16%
• Extreme Case 16%
• Equality Constraint 16%
• Error Bound 16%
• Noise Distribution 16%
• Nonlinear Regression 16%
• Induced Distribution 16%

Mathematics

• Heavy Tail 42%