A Sparse Regularized Least-Squares Preference Learning Algorithm.
Evgeni TsivtsivadzeTapio PahikkalaAntti AirolaJorma BobergTapio SalakoskiPublished in: SCAI (2008)
Keyphrases
- regularized least squares
- learning algorithm
- sparse representation
- machine learning algorithms
- training data
- regularization term
- active learning
- learning tasks
- reproducing kernel hilbert space
- signal processing
- training examples
- reinforcement learning
- multiscale
- learning problems
- support vector regression
- supervised learning
- training samples
- real valued
- image processing
- machine learning