Calibrating Margin-Based Classifier Scores into Polychotomous Probabilities.
Martin GebelClaus WeihsPublished in: GfKl (2007)
Keyphrases
- probability estimates
- multi class
- binary classifiers
- class probabilities
- bayes theorem
- feature selection
- discriminative learning
- probability values
- training data
- cost sensitive
- class conditional
- classification process
- feature selection algorithms
- classifier systems
- feature set
- probability distribution
- class membership
- support vector
- classification algorithm
- linear classifiers
- scoring function
- svm classifier
- classification method
- classification models
- classification scheme
- binary classification
- learning algorithm
- belief networks
- scoring methods
- decision boundary
- roc curve
- data sets
- text categorization
- training samples
- unlabeled data
- semi supervised
- feature space
- feature extraction
- face recognition
- machine learning