Learning to classify by ongoing feature selection.
Dan LeviShimon UllmanPublished in: Image Vis. Comput. (2010)
Keyphrases
- learning to classify
- feature selection
- text classification
- text categorization
- feature selection algorithms
- multi class
- feature extraction
- classification accuracy
- feature subset
- text mining
- feature set
- selected features
- information gain
- machine learning
- model selection
- mutual information
- bayes classifier
- support vector machine
- unsupervised feature selection
- naive bayes
- irrelevant features
- unsupervised learning
- discriminative features
- feature weighting
- informative features
- method for feature selection
- classification models
- high dimensionality
- information extraction
- knn
- feature space
- information systems
- artificial intelligence
- information retrieval