Novel kernel density estimator based on ensemble unbiased cross-validation.
Yu-Lin HeXuan YeDe-Fa HuangJoshua Zhexue HuangJun-Hai ZhaiPublished in: Inf. Sci. (2021)
Keyphrases
- cross validation
- kernel density estimator
- regression problems
- training set
- model selection
- kernel density estimation
- hyperparameters
- support vector
- akaike information criterion
- variable selection
- density estimation
- neural network
- base classifiers
- density function
- support vector machine
- ensemble methods
- random forest
- nearest neighbor classifiers
- generalization error
- information criterion
- density estimators
- decision trees
- multi class
- feature selection
- closed form
- ls svm
- training data