Is mutual information adequate for feature selection in regression?
Benoît FrénayGauthier DoquireMichel VerleysenPublished in: Neural Networks (2013)
Keyphrases
- mutual information
- feature selection
- conditional mutual information
- information theoretic
- model selection
- support vector machines for classification
- supervised feature selection
- regression model
- information gain
- image registration
- medical image registration
- regression problems
- support vector
- similarity measure
- regression algorithm
- feature selection algorithms
- linear regression
- machine learning
- multimodal image registration
- information theoretic measures
- text categorization
- high dimensionality
- locally weighted
- regression function
- sequential forward
- mutual information maximization
- selection criterion
- regression analysis
- support vector regression
- text classification
- feature set
- regression method
- unsupervised feature selection
- gaussian processes
- least squares
- support vector machine
- classification accuracy
- data sets