exponential smoothing
PulseAugur coverage of exponential smoothing — every cluster mentioning exponential smoothing across labs, papers, and developer communities, ranked by signal.
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AI models predict risky driving hotspots in Sydney using vehicle data
A new research paper explores the use of connected vehicle data to proactively identify and forecast risky driving hotspots in Greater Sydney, Australia. The study quantifies risky driving through thresholds for hard br…
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Wasserstein Exponential Smoothing extends forecasting to distributional time series
Researchers have developed a new method called Wasserstein Exponential Smoothing (WES) to extend exponential smoothing techniques to distributional time series. This approach allows for forecasting when observations are…
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Hyper-Trees framework blends gradient boosted trees with classical forecasting models
Researchers have introduced Hyper-Trees, a novel framework for time series forecasting that combines gradient boosted trees with classical forecasting models like ARIMA. This approach learns the parameters of these clas…