Essays about: "Quantile Regression Forest"
Found 5 essays containing the words Quantile Regression Forest.
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1. Predicting Short-term Absences of a Railway Crew using Historical Data
University essay from KTH/Matematisk statistikAbstract : Transportation via train is considered the most environmentally friendly way of traveling and is widely seen as the future of transportation. Canceled and delayed trains worsen customer satisfaction; thus, punctual trains are crucial for railway companies. READ MORE
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2. Conform with the Wind : Processing short-term ensemble forecasts with conformal based methods for probabilistic wind-speed forecasting
University essay from Lunds universitet/Matematisk statistikAbstract : Forecasting wind has always been an interesting subject, and as large parts of the world are relying more on wind for power production it is becoming even more important to have reliable forecasts. Probabilistic forecasts, where distributions are predicted in contrast to deterministic forecasts, are impor- tant for informed decision making. READ MORE
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3. A Comparison of Statistical Methods to Generate Short-Term Probabilistic Forecasts for Wind Power Production Purposes in Iceland
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : Accurate forecasts of wind speed and power production are of great value for wind power producers. In Southwest Iceland, wind power installations are being planned by various entities. READ MORE
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4. Predicting Stock Market Price Direction with Uncertainty Using Quantile Regression Forest
University essay from Uppsala universitet/Tillämpad matematik och statistikAbstract : .... READ MORE
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5. Adaptive detection of anomalies in the Saab Gripen fuel tanks using machine learning
University essay from Uppsala universitet/Signaler och systemAbstract : Gripen E, a fighter jet developed by Saab, has to fulfill a number of specifications and is therefore tested thoroughly. This project is about detecting anomalies in such tests and thereby improving the automation of the test data evaluation. READ MORE