Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs.
Cheng WangCarolin LawrenceMathias NiepertPublished in: CoRR (2020)
Keyphrases
- finite state
- uncertain data
- markov chain
- markov decision processes
- model checking
- probability theory
- recurrent neural networks
- conditional probabilities
- average cost
- probabilistic context free grammars
- optimal policy
- probabilistic model
- context free
- camera calibration
- bayesian networks
- transition systems
- decision theory
- completely independent
- fuzzy neural network
- partially observable markov decision processes
- data mining
- state space
- policy iteration
- tree automata
- context sensitive
- continuous time bayesian networks