Low rank updated LS-SVM classifiers for fast variable selection.
Fabian OjedaJohan A. K. SuykensBart De MoorPublished in: Neural Networks (2008)
Keyphrases
- variable selection
- low rank
- ls svm
- high dimensional data
- input variables
- cross validation
- linear combination
- convex optimization
- missing data
- matrix factorization
- dimension reduction
- high dimensional
- singular value decomposition
- support vector
- group lasso
- semi supervised
- feature selection
- model selection
- low dimensional
- training data
- dimensionality reduction
- training set
- high order
- data points
- data sets
- nearest neighbor
- high dimensionality
- decision trees
- data analysis
- least squares
- hyperparameters
- sparse representation
- unsupervised learning