Margin Trees for High-dimensional Classification.
Robert TibshiraniTrevor HastiePublished in: J. Mach. Learn. Res. (2007)
Keyphrases
- high dimensional
- decision trees
- support vector
- training set
- pattern recognition
- classification accuracy
- pattern classification
- support vector machine
- image classification
- machine learning
- nearest neighbor
- high dimensionality
- classification algorithm
- feature space
- decision boundary
- training samples
- multi class
- classification method
- feature extraction
- text classification
- similarity search
- svm classifier
- kernel principal component analysis
- classification trees
- generalization ability
- cross validation
- classification models
- metric space
- classification rules
- data points
- benchmark datasets
- preprocessing
- multi dimensional
- dimensionality reduction
- feature vectors