Learning conditional probabilities in event bushes with temporal labels
نویسندگان
چکیده
The event bush is a recently developed formalism for knowledge representation optimized specifically for Earth science knowledge. It graphically represents logical and/or probabilistic dependencies between its nodes (events). Numerical data in geosciences often come in the form of time series: therefore, it is a very common situation to have tables with time-related numerical data for the variables which correspond to the events represented in an event bush. In this work, we present a way to use these numerical data to learn conditional probabilities that have to be specified in the intermediate event bush created on the basis of an event bush with temporal labels. The same idea works also if the bush also has spatial labels.
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