Training a Hyperdimensional Computing Classifier Using a Threshold on Its Confidence.
Laura SmetsWerner Van LeekwijckIng Jyh TsangSteven LatréPublished in: Neural Comput. (2023)
Keyphrases
- training process
- training set
- training examples
- training samples
- classifier training
- text classifiers
- supervised training
- feature selection and classifier
- training set size
- support vector machine
- roc curve
- training data
- decision trees
- labeled training data
- confidence level
- training dataset
- training phase
- training procedure
- confidence values
- classification performances
- avoid overfitting
- boosted classifiers
- data sets
- svm classifier
- classification scheme
- classification algorithm
- sufficient training data
- test set
- machine learning
- neural network
- linear classifiers
- positive training examples
- active learner
- face recognition
- support vector
- minimum error
- association rules
- semi supervised
- supervised learning
- labeled images
- discriminative classifiers
- training algorithm
- learning classifier systems