When cannot regularization improve the least squares estimate in the kernel-based regularized system identification.
Biqiang MuLennart LjungTianshi ChenPublished in: Autom. (2024)
Keyphrases
- least squares
- robust estimation
- weighted least squares
- input output
- tikhonov regularization
- sparse linear
- parameter estimation
- regularization method
- risk minimization
- trace norm
- neural network
- image restoration
- online learning
- low rank
- pairwise
- stochastic gradient descent
- regularization framework
- regularization methods
- objective function
- machine learning