Spectral Regularization Algorithms for Learning Large Incomplete Matrices.
Rahul MazumderTrevor HastieRobert TibshiraniPublished in: J. Mach. Learn. Res. (2010)
Keyphrases
- learning algorithm
- learning process
- noise tolerant
- computational complexity
- significant improvement
- data structure
- noisy data
- online learning
- theoretical analysis
- machine learning algorithms
- computationally efficient
- spectral analysis
- learning models
- reinforcement learning
- learning problems
- computational cost
- multi task learning
- image segmentation
- kernel machines
- feature selection