Feature selection via decision tree surrogate splits.
Clayton SpringerW. Philip KegelmeyerPublished in: ICPR (2008)
Keyphrases
- feature selection
- decision trees
- information gain
- naive bayes
- classification models
- feature construction
- machine learning
- bayes classifier
- decision tree induction
- mutual information
- machine learning algorithms
- support vector
- irrelevant features
- feature selection algorithms
- ensemble methods
- predictive accuracy
- text categorization
- multi class
- attribute selection
- logistic regression
- feature set
- selected features
- random forest
- feature extraction
- unsupervised learning
- induction algorithms
- decision tree learning
- decision tree algorithm
- meta learning
- unsupervised feature selection
- training data
- feature subset
- neural network
- high dimensionality
- decision tree algorithms
- bayesian classifier
- discriminative features
- gene expression data
- text classification
- support vector machine
- knn
- classification accuracy
- training set