Distribution-free consistency of a nonparametric kernel regression estimate and classification.
Adam KrzyzakMiroslaw PawlakPublished in: IEEE Trans. Inf. Theory (1984)
Keyphrases
- kernel regression
- distribution free
- nadaraya watson
- classification accuracy
- decision trees
- machine learning
- regression model
- text classification
- supervised learning
- normal distribution
- feature vectors
- support vector
- support vector machine
- model selection
- support vector machine svm
- generalization ability
- vc dimension
- large deviations