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Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction
To overcome this limitation, this paper proposes a graph transformer structure to improve prediction performance, capturing the differences between the various sites and scenarios contained in the datasets.
Short-term Load Forecasting Based on Hybrid Strategy Using Warm-start Gradient Tree Boosting
WGTB then ensembles their outputs by a warm-start and a hybrid of bagging and boosting, which lowers bias and variance concurrently.
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