On shrinkage estimation of a spherically symmetric distribution for balanced loss functions.
Lahoucine HobbadÉric MarchandIdir OuassouPublished in: J. Multivar. Anal. (2021)
Keyphrases
- loss function
- squared error
- loss minimization
- pairwise
- support vector
- logistic regression
- learning to rank
- probability distribution
- denoising
- risk minimization
- hinge loss
- boosting algorithms
- reproducing kernel hilbert space
- convex loss functions
- parameter estimation
- image denoising
- bregman divergences
- probability density
- bayesian networks
- machine learning