Essays about: "gradient boosting"
Showing result 6 - 10 of 126 essays containing the words gradient boosting.
-
6. Predictive Maintenance for Cyclotrons using Machine Learning
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : A cyclotron is used for diagnosing and treating cancer. Pipes in the cyclotron have to be replaced as they get worn out when isotopes travel through them. This thesis aims to use machine learning models to predict when these parts have to be changed. READ MORE
-
7. Prediction of dementia based on older adults’ sleep disturbances using machine learning: a controlled experiment.
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Sleep disturbances can indicate an increased risk of dementia. This study examines whether machine learning can predict this association and which sleep disturbance factors impact dementia. Methods. READ MORE
-
8. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE
-
9. A Gradient Boosting Tree Approach for Behavioural Credit Scoring
University essay from KTH/Matematisk statistikAbstract : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. READ MORE
-
10. Multi-Class Classification for Predicting Customer Satisfaction : Application of machine learning methods to predict customer satisfaction at IKEA
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Gaining a comprehensive understanding of the features that contribute to customer satisfaction after contact with IKEA’s Remote Customer Meeting Points (RCMPs) is essential for implementing effective remedial measures in the future. The aim of this project is to investigate if it is possible to find key features that influence customer satisfaction and to use these to predict customer satisfaction. READ MORE