Sökning: "Thorsteinn Rögnvaldsson"
Visar resultat 1 - 5 av 14 avhandlingar innehållade orden Thorsteinn Rögnvaldsson.
1. Obtaining Accurate and Comprehensible Data Mining Models : An Evolutionary Approach
Sammanfattning : When performing predictive data mining, the use of ensembles is claimed to virtually guarantee increased accuracy compared to the use of single models. Unfortunately, the problem of how to maximize ensemble accuracy is far from solved. LÄS MER
2. Machine Learning Survival Models : Performance and Explainability
Sammanfattning : Survival analysis is an essential statistics and machine learning field in various critical applications like medical research and predictive maintenance. In these domains understanding models' predictions is paramount. LÄS MER
3. Towards Reliable, Stable and Fast Learning for Smart Home Activity Recognition
Sammanfattning : The current population age grows increasingly in industrialized societies and calls for more intelligent tools to monitor human activities. The aims of these intelligent tools are often to support senior people in their homes, to keep track of their daily activities, and to early detect potential health problems to facilitate a long and independent life. LÄS MER
4. Methods to quantify and qualify truck driver performance
Sammanfattning : Fuel consumption is a major economical component of vehicles, particularly for heavy-duty vehicles. It is dependent on many factors, such as driver and environment, and control over some factors is present, e.g. route, and we can try to optimize others, e. LÄS MER
5. Learning Representations for Machine Activity Recognition
Sammanfattning : Machine activity recognition (MAR) is an essential and effective approach for equipment productivity monitoring. Developing MAR methods for forklift trucks, a vital piece of the industry, can benefit productivity efficiency, maintenance service, product design, and potential savings. LÄS MER
