Diagnosis of Probabilistic Models using Causality and Regression.
Hichem DebbiPublished in: VECoS (2014)
Keyphrases
- probabilistic model
- causal reasoning
- graphical models
- regression model
- latent variables
- model based diagnosis
- generative model
- model based reasoning
- bayesian inference
- conditional probabilities
- conditional random fields
- expectation maximization
- medical diagnosis
- automatic diagnosis
- causal knowledge
- partial least squares
- fault diagnosis
- simple linear
- linear regression
- support vector regression
- clinically relevant
- causal models
- regression method
- regression problems
- regression methods
- ridge regression
- causal relationships
- polynomial regression
- hidden variables
- model selection
- causal ordering
- support vector
- data sets
- attention deficit hyperactivity disorder
- structural model
- reproducing kernel hilbert space
- regression analysis
- gaussian processes
- language model
- information retrieval