Error Estimation in Approximate Bayesian Belief Network Inference.
Enrique F. CastilloRemco R. BouckaertJosé María SarabiaCristina SolaresPublished in: UAI (1995)
Keyphrases
- error estimation
- model selection
- error estimates
- bayesian learning
- generalization error
- data driven
- maximum likelihood
- bayesian decision
- data sets
- support vector machine
- data structure
- information systems
- machine learning
- upper bound
- least squares
- lower bound
- feature extraction
- posterior probability
- maximum entropy
- knowledge base
- gaussian processes
- piecewise linear
- information retrieval
- databases