This study will examine whether the application of hybrid classifiers increases the classification accuracy in comparison to a single classifier. A combination between parametric and non-parametric classifiers will be applied and their performance will be assessed. The student is expected to gain a deep knowledge of applied Machine Learning algorithms within this innovation laboratory.
EAGLE Master Thesis Presentation “Ability of Random Forest Model to Predict the Mean and Standard Deviation of Winter Wheats Biomass in Bavaria: A case study”
On July 08, 2025, Sharmin Mim will defend her master thesis on "Ability of Random Forest Model to Predict the Mean and Standard Deviation of Winter Wheats Biomass in Bavaria: A case study " at 13:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract:...
