Estimating Classification Confidence Using Kernel Densities.
Peter SalamonDavid SalamonV. Adrian CantuMichelle AnTyler PerryRobert A. EdwardsAnca M. SegallPublished in: CoRR (2022)
Keyphrases
- support vector
- pattern recognition
- classification method
- feature space
- automatic classification
- text classification
- decision rules
- decision trees
- kernel density estimators
- multiple kernel learning
- classification systems
- classification scheme
- classification algorithm
- machine learning
- feature vectors
- image classification
- support vector machine
- classification accuracy
- confidence scores
- class separability
- feature extraction
- classification rules
- class labels
- kernel methods
- pattern classification
- support vector machine svm
- model selection
- object classification
- training set
- svm classifier
- kernel learning
- kernel machines
- linearly separable
- machine learning algorithms
- kernel function