A feature selection approach based on sensitivity of RBFNNs.
Xiaoqin ZengZhilong ZhenJiasheng HeLixin HanPublished in: Neurocomputing (2018)
Keyphrases
- feature selection
- sensitivity analysis
- feature set
- text classification
- machine learning
- high dimensionality
- feature extraction
- text categorization
- stability of feature selection
- feature selection algorithms
- model selection
- information gain
- multi class
- feature subset
- mutual information
- support vector
- small sample
- selected features
- classification models
- unsupervised feature selection
- irrelevant features
- classification accuracy
- feature space
- website
- feature selection and classification
- method for feature selection
- support vector classification
- real time
- selecting relevant features
- feature ranking
- discriminative features
- microarray data
- naive bayes
- rough sets
- databases
- data sets