Ranking to Learn: Feature Ranking and Selection via Eigenvector Centrality.
Giorgio RoffoSimone MelziPublished in: CoRR (2017)
Keyphrases
- feature ranking
- feature selection
- support vector machine
- feature subset selection
- gene selection
- high dimensionality
- text categorization
- missing values
- classification models
- logistic regression
- fold cross validation
- random forest
- linear combination
- neural network
- feature subset
- pattern recognition
- machine learning
- benchmark datasets
- ensemble learning
- multi layer perceptron
- microarray
- semi supervised learning
- principal component analysis
- pairwise
- feature space