/(1 - x) with an application to optimize loss functions for classification with neural networks.
Andreas KnoblauchPublished in: Ann. Math. Artif. Intell. (2022)
Keyphrases
- loss function
- neural network
- support vector
- pattern recognition
- hinge loss
- logistic regression
- squared error
- loss minimization
- learning to rank
- pairwise
- classification accuracy
- risk minimization
- supervised learning
- feature extraction
- decision trees
- machine learning
- model selection
- update rules
- bayes rule
- feature selection
- partially labeled data
- convex loss functions
- class conditional
- reproducing kernel hilbert space
- ensemble methods
- cross validation
- svm classifier
- support vector machine svm