On Approximate Inference of Dynamic Latent Classification Models for Oil Drilling Monitoring.
Shengtong ZhongPublished in: BMA (2012)
Keyphrases
- classification models
- approximate inference
- latent variables
- graphical models
- belief propagation
- probabilistic inference
- feature selection
- training data
- parameter estimation
- exact inference
- message passing
- gaussian process
- bayesian networks
- decision trees
- prior knowledge
- random variables
- belief networks
- feature subset
- conditional random fields
- data sets
- neural network
- model selection
- probabilistic model
- image processing