Training a HyperDimensional Computing Classifier using a Threshold on its Confidence.
Laura SmetsWerner Van LeekwijckIng Jyh TsangSteven LatréPublished in: CoRR (2023)
Keyphrases
- training set
- training examples
- training process
- training samples
- supervised training
- training data
- classification process
- training algorithm
- classifier training
- confidence estimates
- learning stage
- confidence level
- supervised learning
- feature selection and classifier
- decision trees
- discriminative classifiers
- avoid overfitting
- threshold selection
- text classifiers
- classification algorithm
- boosted classifiers
- roc curve
- classification method
- sufficient training data
- feature set
- active learning
- feature space
- support vector
- classification rate
- fully labeled
- confidence scores
- multiple classifiers
- labeled training data
- confidence measure
- linear classifiers
- learning algorithm
- svm classifier
- class labels
- knn
- feature selection