Essays about: "gradient boosting"

Showing result 11 - 15 of 126 essays containing the words gradient boosting.

1. 11. Machine Learning of Laser Ultrasonic Data to Predict Material Properties

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Filip Tuvenvall; [2023]
   Keywords : Machine Learning; Laser Ultrasonics; Material Properties; Steel; Hardness of Steel;

   Abstract : The hardness of steel is an important quality parameter for several industrial applications. Conventional mechanical testing is used in quality testing for material hardness and the method is time-consuming, can cause material mix-ups, and results in material waste. READ MORE

3. 12. Machine Learning based Predictive Data Analytics for Embedded Test Systems

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Fayad Al Hanash; [2023]
   Keywords : Machine learning; Artificial Intelligence; Predictive data analytics; Embedded test systems; Confusion matrix; Predictive maintenance; Support vector machines; Random forest; Gradient Boosting; Multi-layer perceptron; Binary classification; Multi-class classification;

   Abstract : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. READ MORE

4. 13. A Comparative Analysis of Decision Tree Models in Identifying Landslide Susceptibility and Type Classification

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Levi Jan Zuiverloon; [2023]
   Keywords : Landslides; landslide susceptibility mapping; Random Forest; Extreme Gradient Boosting; machine learning models; multiclass classification; binary classification; risk assessment; mitigation strategies; Italy; Aosta Valley; infrastructure vulnerability; supervised learning algorithms; Earth and Environmental Sciences;

   Abstract : Landslides pose a significant risk to human life and infrastructure, especially in Italy, which has a high frequency of landslide occurrences. To mitigate these hazards, Landslide Susceptibility Mapping (LSM) is crucial for identifying risk areas and developing appropriate mitigation strategies. READ MORE

5. 14. Predicting Short-term Absences of a Railway Crew using Historical Data

   University essay from KTH/Matematisk statistik

   Author : Agnes Björnfot; Sandra Fjelkestam; [2023]
   Keywords : statistics; machine learning; absence prediction; random forest; XGBoost; quantile regression; statistik; maskininlärning; frånvaroprognoser; random forest; XGBoost; kvantilregression;

   Abstract : 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

6. 15. Toward an application of machine learning for predicting foreign trade in services – a pilot study for Statistics Sweden

   University essay from Stockholms universitet/Statistiska institutionen

   Author : Tea Unnebäck; [2023]
   Keywords : foreign trade in services; sampling; sampling frame; statistics; machine learning; random forest; predicting; extreme gradient boosting; k nearest neighbors; k-nn; official statistics; statistics sweden;

   Abstract : The objective of this thesis is to investigate the possibility of using machine learn- ing at Statistics Sweden within the Foreign Trade in Services (FTS) statistic, to predict the likelihood of a unit to conduct foreign trade in services. The FTS survey is a sample survey, for which there is no natural frame to sample from. READ MORE