Feature-Cost Sensitive Learning with Submodular Trees of Classifiers.
Matt J. KusnerWenlin ChenQuan ZhouZhixiang Eddie XuKilian Q. WeinbergerYixin ChenPublished in: AAAI (2014)
Keyphrases
- cost sensitive learning
- decision trees
- cost sensitive
- probability estimation
- misclassification costs
- feature set
- naive bayes
- classification trees
- minority class
- training data
- class distribution
- missing values
- class imbalance
- feature vectors
- rule extraction
- training set
- binary classifiers
- training samples
- support vector
- roc curve
- test set
- class labels
- data sets
- machine learning algorithms
- training examples
- multi class
- active learning
- machine learning
- neural network
- cross validation
- classification algorithm
- svm classifier
- feature subset
- nearest neighbour
- image classification
- support vector machine
- feature selection