Hailfinder: A Bayesian system for forecasting severe weather

@inproceedings{Abramson1996HailfinderAB,
  title={Hailfinder: A Bayesian system for forecasting severe weather},
  author={Bruce Abramson and John M. Brown and Ward Edwards and Allan H. Murphy and Robert L. Winkler},
  year={1996}
}
Abstract Hailfinder is a Bayesian system that combines meteorological data and model with expert judgment, based on both experience and physical understanding, to forecast severe weather in Northeastern Colorado. The system is based on a model, known as a belief network (BN), that has recently emerged as the basis of some powerful intelligent systems. Hailfinder is the first such system to apply these Bayesian models in the realm of meteorology, a field that has served as the basis of many past… CONTINUE READING

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