Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval.
Cédric BaudritSébastien DesterckePierre-Henri WuilleminPublished in: Inf. Sci. (2016)
Keyphrases
- complex systems
- parameter learning
- bayesian networks
- conditional probabilities
- dynamic systems
- statistical learning
- structure learning
- generative model
- conditional random fields
- probability distribution
- maximum likelihood
- em algorithm
- fuzzy cognitive maps
- approximate inference
- markov random field
- parameter estimation
- agent based models
- graphical models
- posterior probability
- probabilistic inference
- multi agent systems
- hidden variables
- information retrieval
- biological systems
- technical systems
- expectation maximization
- steady state simulation
- qualitative models
- markov networks
- latent variables
- random variables
- learning algorithm