An l1-Norm Regularized Copula Based Feature Selection.
Snehalika LallSanghamitra BandyopadhyayPublished in: ISCSIC (2019)
Keyphrases
- feature selection
- trace norm
- regularized least squares
- multi task
- norm minimization
- unsupervised feature selection
- regularization method
- text categorization
- objective function
- mutual information
- feature selection algorithms
- sparsity inducing
- feature extraction
- text classification
- variable selection
- feature space
- support vector
- high dimensionality
- unsupervised learning
- machine learning
- model selection
- discriminative features
- knn
- tikhonov regularization
- dependence structure
- joint distribution
- feature weighting
- semi parametric
- feature set
- least squares
- random vectors
- method for feature selection
- mixed norm
- total least squares
- selected features
- monte carlo simulation
- information gain
- feature subset
- sparse representation
- support vector machine
- high dimensional