Improving Sparsity and Scalability in Regularized Nonconvex Truncated-Loss Learning Problems.
Qing TaoGao-wei WuDejun ChuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- learning problems
- learning tasks
- supervised learning
- learning algorithm
- machine learning algorithms
- kernel methods
- binary classification
- machine learning
- semi supervised learning
- sample complexity
- objective function
- computational learning theory
- pac learning
- reinforcement learning
- optimization problems
- convex optimization
- multi task
- multi task learning
- sparse representation
- high dimensional
- labeled data
- e learning