Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes.
E. Busra CelikkayaChristian R. SheltonPublished in: ICML (2014)
Keyphrases
- markov processes
- random fields
- markov chain
- stochastic processes
- markov process
- continuous time bayesian networks
- non stationary
- dynamic bayesian networks
- continuous time markov chains
- steady state
- stochastic process
- bayesian networks
- higher order
- probabilistic inference
- transition probabilities
- bayesian inference
- maximum entropy
- markov random field
- information extraction
- state space
- probabilistic model