A top-down construction of class decision trees with selected features and classifiers.
Kazuaki AokiMineichi KudoPublished in: HPCS (2010)
Keyphrases
- decision trees
- selected features
- random forest
- feature selection
- feature set
- svm classifier
- classification accuracy
- naive bayes
- classification rate
- classification method
- training data
- feature subset
- machine learning algorithms
- classification trees
- selecting features
- training set
- class labels
- extracted features
- cross validation
- support vector
- support vector machine
- feature selection and classification
- machine learning
- feature selection algorithms
- text classification
- artificial neural networks
- feature ranking
- base classifiers
- recognition rate
- high dimensional
- feature extraction
- learning algorithm