Rapid Risk Minimization with Bayesian Models Through Deep Learning Approximation.
Mathias LöweJes FrellsenPer Lunnemann HansenSebastian RisiPublished in: CoRR (2021)
Keyphrases
- deep learning
- risk minimization
- bayesian models
- loss function
- bayesian model
- machine learning
- unsupervised learning
- bayesian classifier
- statistical models
- human cognition
- bayesian inference
- prior knowledge
- bayesian methods
- prior probabilities
- mental models
- weakly supervised
- bayesian framework
- probabilistic model
- information extraction
- generalization error
- decision trees
- computer vision
- neural network