Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination.
Eugene TuvAlexander BorisovGeorge C. RungerKari TorkkolaPublished in: J. Mach. Learn. Res. (2009)
Keyphrases
- feature selection
- variable selection
- ensemble learning
- markov blanket
- machine learning
- conditional mutual information
- feature ranking
- text classification
- mutual information
- decision trees
- ensemble classifier
- feature set
- support vector
- selected features
- support vector machine
- classification accuracy
- ensemble selection
- irrelevant features
- imbalanced data
- artificial life
- classifier ensemble
- feature subset
- bayesian networks
- dimension reduction
- text categorization
- naive bayes
- ensemble feature selection
- training data
- unsupervised feature selection
- artificial neural networks
- multi class
- model selection
- unsupervised learning
- ensemble methods
- feature weighting
- benchmark datasets
- random variables
- feature selection algorithms
- random forests
- real world
- multi task
- information gain