On Sparsity Inducing Regularization Methods for Machine Learning
Andreas ArgyriouLuca BaldassarreCharles A. MicchelliMassimiliano PontilPublished in: CoRR (2013)
Keyphrases
- regularization methods
- structured sparsity
- machine learning
- statistical learning
- learning problems
- edge preserving
- total variation
- regularization method
- inverse problems
- regularization parameter
- feature selection
- machine learning algorithms
- norm regularization
- group lasso
- learning algorithm
- iterative methods
- supervised learning
- computer vision
- learning tasks
- image restoration
- text classification
- training set
- decision trees
- optimization methods
- semi supervised learning
- active learning
- contingency tables
- pairwise
- training data
- convex optimization problems
- image processing