Essays about: "Ensemble methods"
Showing result 21 - 25 of 139 essays containing the words Ensemble methods.
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21. 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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22. Model of detection of phishing URLsbased on machine learning
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Phishing attacks continue to pose a significant threat to internetsecurity. One of the most common forms of phishing is through URLs, whereattackers disguise malicious URLs as legitimate ones to trick users into clickingon them. READ MORE
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23. Sublimation temperature prediction of OLED materials : using machine learning
University essay from Uppsala universitet/Analys och partiella differentialekvationerAbstract : Organic light-emitting diodes (OLED) are and have been the future of display technology for a minute. Looking back, display technology has moved from cathode-ray tube displays (CRTs) to liquid crystal displays (LCDs). Whereas CRT displays were clunky and had quite high powerconsumption, LCDs were thinner, lighter and consumed less energy. READ MORE
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24. Making Use of the Factor Zoo: An unpretentious attempt to predict asset returns using machine learning methods.
University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistikAbstract : Factor modeling with the purpose of estimating assets returns is a dynamic and ever changing subject within finance. Recent literature has presented over 300 different fac-tors that seem to have significance in predicting asset returns. This new phenomenon in factor modeling has been dubbed ”The Factor Zoo”. READ MORE
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25. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. READ MORE