Subspace quadratic regularization method for group sparse multinomial logistic regression.
Rui WangNaihua XiuKim-Chuan TohPublished in: Comput. Optim. Appl. (2021)
Keyphrases
- multinomial logistic regression
- regularization method
- multi class
- image restoration
- generalization bounds
- pairwise
- inverse problems
- high dimensional
- artificial neural networks
- regularization parameter
- learning theory
- feature selection
- data dependent
- partial differential equations
- low dimensional
- dimensionality reduction
- feature space
- bayesian inference
- support vector machine
- lower bound
- similarity measure
- feature extraction
- data sets