GAN-Based Priors for Quantifying Uncertainty in Supervised Learning.
Dhruv V. PatelAssad A. OberaiPublished in: SIAM/ASA J. Uncertain. Quantification (2021)
Keyphrases
- supervised learning
- unsupervised learning
- bayesian framework
- statistical learning
- supervised classification
- reinforcement learning
- semi supervised
- training set
- training data
- probability theory
- active learning
- machine learning
- class labels
- multiple instance learning
- inherent uncertainty
- uncertain data
- training examples
- incomplete information
- learning tasks
- semi supervised learning
- training samples
- unlabeled data
- decision theory
- prior knowledge
- possibility theory
- uncertain information
- learning algorithm