Rapid Risk Minimization with Bayesian Models Through Deep Learning Approximation.
Mathias LöwePer Lunnemann HansenSebastian RisiPublished in: IJCNN (2021)
Keyphrases
- deep learning
- risk minimization
- bayesian models
- loss function
- bayesian model
- unsupervised learning
- machine learning
- bayesian classifier
- bayesian inference
- prior knowledge
- bayesian methods
- probabilistic model
- statistical models
- generalization error
- weakly supervised
- markov random field
- active learning
- prior probabilities
- training data
- neural network
- semi supervised
- multiscale
- mental models
- bayesian framework