Smooth Loss Functions for Deep Top-k Classification.
Leonard BerradaAndrew ZissermanM. Pawan KumarPublished in: CoRR (2018)
Keyphrases
- loss function
- support vector
- hinge loss
- pairwise
- partially labeled data
- classification accuracy
- learning to rank
- squared error
- support vector machine svm
- decision trees
- cross validation
- bayes rule
- loss minimization
- machine learning algorithms
- logistic regression
- kernel classifiers
- machine learning
- reproducing kernel hilbert space
- update rules
- risk minimization
- convex loss functions
- pattern classification
- feature set
- feature space
- density estimation
- svm classifier
- class labels
- support vector machine
- special case
- learning to rank algorithms
- feature vectors