Bandwidth Selection in Kernel Density Estimators for Multiple-Resolution Classification.
Mateusz KobosJacek MandziukPublished in: ICAISC (1) (2012)
Keyphrases
- kernel density estimators
- density estimation
- support vector
- pattern classification
- pattern recognition
- text classification
- linear regression
- anytime classification
- feature extraction
- machine learning
- feature space
- training set
- decision trees
- supervised learning
- unsupervised learning
- probability models
- nearest neighbor
- svm classifier
- classification accuracy
- feature vectors
- bayesian networks
- feature selection