Cost Sensitive Hierarchical Classifiers for Non-invasive Recognition of Liver Fibrosis Stage.

Bartosz Krawczyk Michal Wozniak Tomasz Orczyk Piotr Porwik

Published 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