Classification in High-Dimensional Feature Spaces: Random Subsample Ensemble.
Gürsel SerpenSanthosh PathicalPublished in: ICMLA (2009)
Keyphrases
- high dimensional feature spaces
- training set
- classification accuracy
- base classifiers
- data sets
- support vector machine svm
- high dimensional
- machine learning
- decision trees
- high dimensional feature space
- supervised learning
- pattern recognition
- text classification
- support vector machine
- generalization ability
- feature selection
- ensemble learning
- regression problems
- training samples
- neural network
- image classification
- feature vectors
- support vector
- multiscale
- feature extraction
- model selection
- feature set
- semi supervised
- class labels
- classification models
- feature space
- learning algorithm