Parallel Feature Selection for Regularized Least-Squares.
Sebastian OkserAntti AirolaTero AittokallioTapio SalakoskiTapio PahikkalaPublished in: PARA (2012)
Keyphrases
- regularized least squares
- feature selection
- sparse representation
- text categorization
- feature extraction
- support vector
- text classification
- feature space
- machine learning
- classification accuracy
- support vector machine
- feature set
- reproducing kernel hilbert space
- image processing
- pairwise
- dimensionality reduction
- real valued
- regularization term