Binary Classifier Calibration Using an Ensemble of Linear Trend Estimation.
Mahdi Pakdaman NaeiniGregory F. CooperPublished in: SDM (2016)
Keyphrases
- ensemble learning
- training data
- multiple classifiers
- binary classifiers
- ensemble classifier
- binary classification problems
- classifier ensemble
- feature selection
- final classification
- decision tree classifiers
- discriminant function
- training set
- camera calibration
- multi class
- multi class svm
- learning algorithm
- combining classifiers
- individual classifiers
- weak learners
- closed form solutions
- feature space
- multiple classifier systems
- weak classifiers
- continuous valued
- training samples
- selection criterion
- error analysis
- support vector machine
- error correcting output codes
- random forests
- focal length
- ensemble methods
- accurate classifiers
- linear classifiers
- pruning algorithm
- neural network
- robust estimation
- class imbalance
- random forest
- density estimation
- classification method
- support vector
- decision trees
- machine learning