Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure.
Sheng ChenXunxian WangXia HongChris J. HarrisPublished in: IEEE Trans. Neural Networks (2006)
Keyphrases
- class separability
- feature selection
- forward selection
- feature space
- intra class
- feature set
- dimensionality reduction
- support vector
- text categorization
- ensemble learning
- multi class
- support vector machine
- text classification
- linear discriminant analysis
- classification accuracy
- similarity measure
- machine learning
- discriminant analysis
- weak classifiers
- learning algorithm
- feature subset
- reduction method
- linear classifiers
- training data