On Sparsity Inducing Regularization Methods for Machine Learning.
Andreas ArgyriouLuca BaldassarreCharles A. MicchelliMassimiliano PontilPublished in: Empirical Inference (2013)
Keyphrases
- regularization methods
- structured sparsity
- machine learning
- statistical learning
- learning problems
- regularization method
- total variation
- edge preserving
- inverse problems
- machine learning algorithms
- norm regularization
- image restoration
- support vector machine
- model selection
- regularization parameter
- feature selection
- learning algorithm
- decision trees
- learning tasks
- noise reduction
- group lasso
- supervised learning
- variable selection
- multiscale
- iterative methods
- image reconstruction
- support vector