Feature Selection for Neural Networks Through Binomial Regression.
Gecynalda Soares da Silva GomesTeresa Bernarda LudermirPublished in: ICONIP (2) (2006)
Keyphrases
- neural network
- feature selection
- supervised feature selection
- model selection
- support vector
- support vector machines for classification
- regression model
- classification and regression trees
- regression problems
- pattern recognition
- text categorization
- mutual information
- feature selection algorithms
- neural nets
- feature set
- feature space
- fuzzy logic
- feature subset
- feed forward
- artificial neural networks
- high dimensionality
- method for feature selection
- machine learning
- feature weighting
- stepwise regression
- rule extraction
- dimensionality reduction
- regression algorithm
- multi task
- support vector regression
- partial least squares
- radial basis function network
- fault diagnosis
- irrelevant features
- dimension reduction
- probability distribution
- classification accuracy
- feature extraction
- data sets
- regression method
- selected features
- linear regression
- neural network model
- self organizing maps
- logistic regression
- rough sets
- knn