Loss Function of GAN to Make a Clear Judgment.
Kuniyasu ImadeToi TsunedaSatoshi YamaneKousuke ShintaniTaro KiriyamaPublished in: CANDAR (Workshops) (2021)
Keyphrases
- loss function
- support vector
- pairwise
- logistic regression
- risk minimization
- learning to rank
- gradient boosting
- empirical risk
- loss minimization
- reproducing kernel hilbert space
- structuring elements
- convex loss functions
- boosting framework
- bayes rule
- image processing
- hinge loss
- information retrieval
- least squares
- feature selection