Browsing Theses by Subject "structure learning"
Now showing items 1-2 of 2
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Improved Bayesian Network Structure Learning in the Model Averaging Paradigm
(University of Waterloo, 2023-01-10)A Bayesian network (BN) is a probabilistic graphical model with applications in knowledge discovery and prediction. Its structure can be learned from data using the well-known score-and-search approach, where a scoring ... -
Temporospatial Context-Aware Vehicular Crash Risk Prediction
(University of Waterloo, 2020-05-29)With the demand for more vehicles increasing, road safety is becoming a growing concern. Traffic collisions take many lives and cost billions of dollars in losses. This explains the growing interest of governments, academic ...