Supervised Low Rank Matrix Approximation for Stable Feature Selection.
Salem AlelyaniHuan LiuPublished in: ICMLA (1) (2012)
Keyphrases
- feature selection
- low rank matrix approximation
- matrix completion
- unsupervised feature selection
- low rank approximation
- text categorization
- feature set
- unsupervised learning
- text classification
- machine learning
- support vector machine
- feature extraction
- feature space
- dimensionality reduction
- low rank
- supervised learning
- feature subset
- model selection
- pairwise
- training data
- semi supervised
- knn
- data sets
- image classification
- kernel matrix
- support vector