-norm regularization for supervised learning.
Mingbo ZhaoMingquan LinBernard ChiuZhao ZhangXue-Song TangPublished in: Neurocomputing (2018)
Keyphrases
- norm regularization
- supervised learning
- convex optimization
- canonical correlation analysis
- regularization methods
- total variation
- matrix completion
- sparse representation
- group lasso
- multiple kernel learning
- learning problems
- training data
- unsupervised learning
- loss function
- semi supervised
- labeled data
- active learning
- semi supervised learning
- learning tasks
- training set
- max margin
- multi class
- machine learning
- multi task
- low rank
- reinforcement learning
- kernel learning
- variable selection
- statistical learning
- regression model
- multi label learning
- class labels
- generalization error
- unlabeled data
- image restoration
- multiple instance learning
- edge preserving
- training samples
- super resolution
- collaborative filtering
- efficient optimization
- support vector
- face recognition
- solution path
- data sets