Keyphrases
- nadaraya watson
- kernel regression
- kernel density estimator
- density estimators
- receiver operating characteristic
- density estimation
- roc curve
- logistic regression
- class distribution
- data driven
- model selection
- probability estimation
- feature selection
- classification accuracy
- cost function
- smoothness constraint
- variance estimator
- class probability estimates
- kernel density estimation
- error rate
- bayesian modeling
- prior information
- decision trees
- newly constructed
- objective function
- class probabilities
- probability estimates
- naive bayes
- hierarchical bayesian
- change point detection
- low variance
- smoothing parameter
- training set
- analytical expressions
- nonparametric regression
- cost sensitive