A Tunable Loss Function for Classification.
Tyler SypherdMario DíazHarshit LaddhaLalitha SankarPeter KairouzGautam DasarathyPublished in: CoRR (2019)
Keyphrases
- loss function
- support vector
- hinge loss
- learning to rank
- classification accuracy
- bayes rule
- text classification
- boosting framework
- pattern classification
- benchmark datasets
- support vector machine svm
- feature vectors
- pairwise
- model selection
- support vector machine
- stochastic gradient descent
- feature space
- feature extraction
- machine learning
- supervised learning
- classification algorithm
- precision and recall
- class imbalance
- boosting algorithms
- class conditional
- risk minimization