Sparse Proximal Support Vector Machines for feature selection in high dimensional datasets.
Vijay PappuOrestis P. PanagopoulosPetros XanthopoulosPanos M. PardalosPublished in: Expert Syst. Appl. (2015)
Keyphrases
- high dimensional datasets
- feature selection
- support vector
- high dimensionality
- high dimensional
- large margin classifiers
- outlier detection
- high dimensional data
- feature space
- classification accuracy
- dimensionality reduction
- support vector machine
- text categorization
- low dimensional
- feature set
- text classification
- sparse representation
- nearest neighbor
- feature extraction
- machine learning
- multi dimensional
- training examples
- knn
- data points
- data analysis
- video sequences
- data mining