Generality-Training of a Classifier for Improved Calibration in Unseen Contexts.
Bhawani Shankar LeelarMeelis KullPublished in: ECML/PKDD (5) (2023)
Keyphrases
- training set
- training examples
- training process
- training samples
- training data
- unseen data
- text classifiers
- training phase
- supervised learning
- support vector
- active learning
- camera calibration
- decision trees
- supervised training
- labeled training data
- multi layer perceptron
- classification performances
- small number
- learning algorithm
- test set
- training set size
- feature selection and classifier
- sufficient training data
- classification accuracy
- fully labeled
- data sets
- learning phase
- discriminative classifiers
- ground truth labels
- classification process
- svm classifier
- linear svm
- classifier training
- training algorithm
- class labels
- avoid overfitting
- feature set
- artificial neural networks
- feature space
- neural network