Hailfinder: A Bayesian system for forecasting severe weather☆
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2021, International Journal of Approximate ReasoningCitation Excerpt :ALARM [5] with 37 vertices, 46 edges and 509 parameters, it was designed by medical experts to provide an alarm message system for intensive care unit patients based on the output a number of vital signs monitoring devices. HAILFINDER [1] with 56 vertices, 66 edges, and 2656 parameters, it was designed to forecast severe summer hail in northeastern Colorado. The natural continuation of the work presented here would be to develop a learning algorithm with weaker assumptions than the one presented.
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This work was supported in party by the National Science Foundation under grants SES-9106440 and IRI-9424378, in part by the Forecast Systems Laboratory of the National Oceanic and Atmospheric Administration, and in part by the Wood Kalb Foundation.