A novel multi-scale loss function for classification problems in machine learning.
Leonid BerlyandRobert CreesePierre-Emmanuel JabinPublished in: J. Comput. Phys. (2024)
Keyphrases
- loss function
- support vector
- hinge loss
- multiscale
- pairwise
- classification accuracy
- learning to rank
- pattern classification
- bayes rule
- feature extraction
- logistic regression
- image classification
- feature selection
- benchmark datasets
- risk minimization
- svm classifier
- empirical risk
- convex loss functions
- machine learning algorithms
- generalization ability
- naive bayes
- training samples
- feature vectors
- decision trees
- image processing