A novel multi-scale loss function for classification problems in machine learning.
Leonid BerlyandRobert CreesePierre-Emmanuel JabinPublished in: CoRR (2021)
Keyphrases
- loss function
- support vector
- hinge loss
- multiscale
- learning to rank
- empirical risk
- risk minimization
- classification accuracy
- pairwise
- decision trees
- logistic regression
- feature vectors
- bayes rule
- image classification
- feature extraction
- model selection
- support vector machine svm
- pattern classification
- feature set
- feature selection
- convex loss functions
- machine learning
- reproducing kernel hilbert space
- regularization term
- cross validation
- text classification
- supervised learning
- support vector machine
- special case
- image processing