Iteratively Reweighted Least Squares by Diagonal Regularization.
Bamrung TausiesakulKrissada AsavaskulkietPublished in: JCSSE (2023)
Keyphrases
- reweighted least squares
- covariance matrix
- data dependent
- parameter selection
- projection operator
- regularization framework
- inverse problems
- data sets
- prior information
- support vector
- machine learning
- regularization parameter
- kernel machines
- higher order
- regularization methods
- trace norm
- empirical risk minimization
- neural network