Bagging Tree Classifiers for Glaucoma Diagnosis.
Torsten HothornBerthold LausenPublished in: COMPSTAT (2002)
Keyphrases
- decision tree classifiers
- decision trees
- ensemble learning
- majority voting
- randomized trees
- ensemble classifier
- voting methods
- imbalanced data
- individual classifiers
- training set
- meta learning
- optic nerve
- classifier ensemble
- ensemble methods
- tree induction
- classification trees
- class label noise
- ensemble classification
- decision tree learners
- weighted voting
- machine learning
- tree structure
- regression trees
- decision forest
- model based diagnosis
- pruning algorithm
- accurate classifiers
- naive bayes
- training data
- induction algorithms
- random forests
- weak classifiers
- decision stumps
- linear classifiers
- blood vessels
- base classifiers
- multi class
- test set
- machine learning algorithms
- feature selection
- classifier combination
- support vector
- knn
- machine learning methods
- class labels
- classification algorithm
- learning algorithm
- model selection
- training samples
- ensemble members
- base learners
- healthy subjects
- feature subset
- visual field
- classification models
- random forest
- decision boundary