Cost-sensitive learning of hierarchical tree classifiers for large-scale image classification and novel category detection.
Jianping FanJi ZhangKuizhi MeiJinye PengLing GaoPublished in: Pattern Recognit. (2015)
Keyphrases
- cost sensitive learning
- hierarchical tree
- cost sensitive
- probability estimation
- decision trees
- misclassification costs
- class imbalance
- training examples
- naive bayes
- active learning
- test set
- training data
- class distribution
- rule extraction
- feature set
- training set
- missing values
- object categories
- feature selection
- binary classification
- support vector
- data sets
- classification algorithm
- attribute values
- binary classifiers
- machine learning algorithms
- text categorization
- training samples