Applying Mutual Information for Prototype or Instance Selection in Regression Problems.
Alberto GuillénLuis Javier HerreraGinés RubioHéctor PomaresAmaury LendasseIgnacio RojasPublished in: ESANN (2009)
Keyphrases
- regression problems
- instance selection
- mutual information
- feature selection
- cross validation
- genetic programming
- linear regression
- support vector machine
- nearest neighbor
- data reduction
- text classification
- classification accuracy
- multiple instance learning
- similarity measure
- input space
- image registration
- multi class
- selection criterion
- learning machines
- random forests
- high dimensional data
- supervised learning
- model selection
- support vector
- semi supervised learning
- data analysis
- information gain
- semi supervised
- text categorization
- feature space
- data sets
- pattern recognition
- concept drift
- naive bayes
- probabilistic model
- feature set
- machine learning