$l_{2,p}$ Matrix Norm and Its Application in Feature Selection
Liping WangSongcan ChenPublished in: CoRR (2013)
Keyphrases
- feature selection
- trace norm
- multi task
- mutual information
- low rank matrices
- text categorization
- singular value decomposition
- information gain
- low rank approximation
- multi class
- low rank
- method for feature selection
- feature subset
- unsupervised feature selection
- feature selection algorithms
- classification accuracy
- singular values
- selected features
- feature weighting
- linear algebra
- small sample
- text classification
- feature set
- frobenius norm
- support vector machine
- knn
- support vector
- machine learning
- norm minimization
- neural network
- robust principal component analysis
- convex optimization
- gene expression data
- unsupervised learning
- model selection
- dimensionality reduction
- least squares
- training data
- feature extraction