Boosting feature selection for Neural Network based regression.
Kevin BaillyMaurice MilgramPublished in: Neural Networks (2009)
Keyphrases
- feature selection
- model selection
- regression problems
- supervised feature selection
- support vector machines for classification
- select relevant features
- support vector
- regression model
- gradient boosting
- neural network
- text categorization
- feature space
- relevance vector machine
- machine learning
- text classification
- mutual information
- multi class
- linear regression
- classification accuracy
- feature selection algorithms
- feature selection and classification
- feature set
- kernel ridge regression
- classification and regression trees
- dimensionality reduction
- support vector machine
- ensemble learning
- support vector regression
- feature subset
- high dimensionality
- multi task
- discriminative features
- base classifiers
- naive bayes
- unsupervised learning
- feature extraction
- nonlinear regression
- regression algorithm
- irrelevant features
- feature ranking
- ensemble classifier
- classification models