Cost Sensitive Hierarchical Classifiers for Non-invasive Recognition of Liver Fibrosis Stage.
Bartosz KrawczykMichal WozniakTomasz OrczykPiotr PorwikPublished in: CORES (2013)
Keyphrases
- cost sensitive
- naive bayes
- cost sensitive learning
- misclassification costs
- class probabilities
- boosting algorithms
- multi class
- binary classification
- decision trees
- probability estimates
- object recognition
- class distribution
- cost sensitive classification
- classification accuracy
- active learning
- confidence weighted
- binary classifiers
- training data
- feature extraction
- support vector
- linear classifiers
- class imbalance
- feature selection
- feature set
- svm classifier
- classification algorithm
- support vector machine
- machine learning algorithms
- test set
- learning process
- training set
- training examples
- text classification
- unsupervised learning
- classification models
- small number
- semi supervised
- bayesian networks