A Bayesian network incorporating observation error to predict phosphorus and chlorophyll a in Saginaw Bay.
YoonKyung ChaCraig A. StowPublished in: Environ. Model. Softw. (2014)
Keyphrases
- bayesian networks
- probabilistic inference
- probability distribution
- error rate
- probabilistic model
- structure learning
- conditional probabilities
- correlation coefficient
- incomplete data
- decision trees
- learning bayesian networks
- water quality
- graphical models
- expert knowledge
- random variables
- relative error
- bayesian network classifiers
- error detection
- machine learning
- spectral data
- diagnostic reasoning
- bayesian network inference