Incomplete-data classification using logistic regression.
David WilliamsXuejun LiaoYa XueLawrence CarinPublished in: ICML (2005)
Keyphrases
- logistic regression
- incomplete data
- decision trees
- support vector
- logistic regression models
- fold cross validation
- linear support vector machines
- naive bayes
- classification accuracy
- linear svm
- missing data
- credit scoring
- classification trees
- incomplete data sets
- breast cancer
- classification and regression trees
- decision tree algorithms
- bayesian networks
- class membership probabilities
- missing values
- em algorithm
- bayesian classifiers
- machine learning
- belief nets
- feature selection
- pattern recognition
- training set
- support vector machine
- data sets
- feature space
- text classification
- model selection
- naive bayes classifier
- loss function
- classification rules
- k nearest neighbour
- image data
- regression model
- nearest neighbor rule
- class labels
- feature extraction
- image processing
- cross validation
- learning algorithm
- svm classifier