norms of kernel regression estimators for incomplete data with applications to classification.
Timothy ReeseMajid MojirsheibaniPublished in: Stat. Methods Appl. (2017)
Keyphrases
- incomplete data
- kernel regression
- nadaraya watson
- incomplete data sets
- missing values
- classification accuracy
- missing data
- pattern recognition
- irrelevant attributes
- em algorithm
- support vector
- learning bayesian networks
- multiple imputation
- regression model
- bayesian networks
- decision trees
- training set
- text classification
- machine learning
- hyperparameters
- training data
- feature extraction