A Learning Method of Feature Selection for Rough Classification.
Katsuhiko TakahashiAtsushi SatoPublished in: Multiple Classifier Systems (2000)
Keyphrases
- feature selection
- classification accuracy
- unsupervised learning
- preprocessing
- classification method
- method for feature selection
- prior knowledge
- support vector machine
- feature set
- training samples
- feature extraction
- supervised learning
- pattern classification
- mutual information
- rough sets
- cross validation
- decision trees
- model selection
- learning process
- similarity measure
- feature space
- support vector machine svm
- supervised and unsupervised learning
- decision rules
- reinforcement learning
- bayesian networks
- markov blanket
- irrelevant features
- select relevant features
- active learning
- conditional mutual information
- informative features
- kernel learning
- bayesian methods
- machine learning methods
- support vector
- training set
- feature vectors
- text classification