Fast and efficient lung disease classification using hierarchical one-against-all support vector machine and cost-sensitive feature selection.
Yongjun ChangNamkug KimYoungjoo LeeJonghyuck LimJoon Beom SeoYoung Kyung LeePublished in: Comput. Biol. Medicine (2012)
Keyphrases
- support vector machine
- cost sensitive
- feature selection
- multi class
- lung disease
- cost sensitive classification
- svm classifier
- binary classification
- support vector
- cost sensitive learning
- misclassification costs
- multiclass classification
- support vector machine svm
- class imbalance
- class distribution
- k nearest neighbor
- svm classification
- classification method
- machine learning
- classification algorithm
- naive bayes
- feature vectors
- feature space
- text classification
- kernel methods
- knn
- kernel function
- probability estimates
- hyperplane
- training set
- decision boundary
- multi class classification
- training data
- base classifiers
- feature extraction
- linear classifiers
- text categorization
- feature set
- cost sensitive boosting
- feature ranking
- cross validation
- unsupervised learning
- active learning