On the influence of feature selection in fuzzy rule-based regression model generation.
Michela AntonelliPietro DucangeFrancesco MarcelloniArmando SegatoriPublished in: Inf. Sci. (2016)
Keyphrases
- feature selection
- model selection
- support vector
- supervised feature selection
- regression problems
- support vector machines for classification
- regression model
- classification accuracy
- text categorization
- feature set
- information gain
- linear regression
- regression algorithm
- cross validation
- feature ranking
- feature selection algorithms
- feature subset
- dimensionality reduction
- unsupervised feature selection
- high dimensionality
- genetic programming
- multi task
- support vector regression
- text classification
- feature extraction
- learning algorithm
- feature relevance
- stepwise regression
- irrelevant features
- feature weighting
- knowledge extraction
- fuzzy rules
- face recognition
- mutual information
- support vector machine
- artificial neural networks