Ranking to Learn: - Feature Ranking and Selection via Eigenvector Centrality.
Giorgio RoffoSimone MelziPublished in: NFMCP@PKDD/ECML (2016)
Keyphrases
- feature ranking
- feature selection
- high dimensionality
- feature subset selection
- support vector machine
- gene selection
- random forest
- text categorization
- machine learning
- selection algorithm
- feature subset
- missing values
- neural network
- linear combination
- logistic regression
- multi layer perceptron
- classification models
- fold cross validation
- multi class
- evolutionary algorithm