Designing Rule-Based Classifiers with On-Line Feature Selection: A Neuro-fuzzy Approach.
Debrup ChakrabortyNikhil R. PalPublished in: AFSS (2002)
Keyphrases
- feature selection
- feature set
- support vector
- feature selection algorithms
- bayes classifier
- naive bayes
- feature subset
- small sample
- classification models
- text categorization
- optimal subset of features
- feature ranking
- classification accuracy
- text classification
- feature extraction
- training data
- support vector machine
- classification performances
- meta learning
- feature space
- expert systems
- machine learning
- test set
- mutual information
- irrelevant features
- decision trees
- higher classification accuracy
- input features
- linear classifiers
- linear discriminant
- data sets
- information gain
- machine learning algorithms
- microarray data
- dimensionality reduction
- ensemble learning
- multi class
- decision stumps
- classification algorithm
- high dimensionality
- rule base
- fold cross validation
- feature weighting
- selected features
- neuro fuzzy
- classification method
- classifier combination
- discriminative features
- unsupervised learning
- ensemble classifier
- irrelevant attributes