Essays about: "gradient boosting"
Showing result 16 - 20 of 126 essays containing the words gradient boosting.
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16. Optimizing Load Balancing inRaytracing for Radio Frequency PropagationPredictive models developed for simulation systems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This thesis presents two predictive models with the aim of pre-allocating memory efficiently in the Ericsson Radio Frequency Propagation Simulation System through the prediction model, so as to achieve the effect of load balancing. The proposed approaches utilize interpolation and the Gradient Boosting Decision Tree (GBDT) method from machine learning for prediction and apply both methods in multiple test scenarios. READ MORE
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17. Modelling Airbnb Prices in the Maltese Islands
University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionenAbstract : The digital platform Airbnb has gained popularity in a number of countries particu- larly in the Maltese islands. Striking a balance in setting a price that is competitive and also renders a good profit can be a challenge. READ MORE
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18. Improving Machinery Safety : Modelling data to explain machine stops and developing a strategy on how to reduce them
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The purpose of this thesis is to examine how machinery safety at Stora Enso can be increased, with the goal of reducing the amount of machine stops and improving the operational safety within the Packaging Solutions division. To do this, data from the one of the machines at the Jönköping mill has been used for classification and time series modelling. READ MORE
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19. Predicting Airbnb Prices in European Cities Using Machine Learning
University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaperAbstract : Background: Machine learning is a field of computer science that focuses on creating models that can predict patterns and relations among data. In this thesis, we use machine learning to predict Airbnb prices in various European cities to help the hosts in setting reasonable prices for their properties. READ MORE
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20. Predicting SNI Codes from Company Descriptions : A Machine Learning Solution
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : This study aims to develop an automated solution for assigning area of industry codes to businesses based on the contents of their business descriptions. The Swedish standard industrial classification (SNI) is a system used by Statistics Sweden (SCB) for categorizing businesses for their statistics reports. READ MORE