© Universität Bielefeld
Scientific Data Services
Veröffentlicht am
20. Mai 2023
Kategorie:
Forschung
Talk on quantifying the labelling uncertainty for machine learning models - ZeSt Colloquium
As part of the ZeSt Colloquium Prof. Dr. Göran Kauermann from the Institute of Statistics at the Ludwig-Maximilians-Universität Munich will give his guest lecture "Categorizing the World into Local Climate Zones - Towards Quantifying Labeling Uncertainty for Machine Learning Models" at the University of Bielefeld on Tuesday, 30th of May. He will give an insight into the work on modelling labelling uncertainty in the context of remote sensing and satellite image classification in lecture hall W9-109 from 12 to 13 pm. The talk will be focused on the construction of a multinomial mixed model based on the assumption that there is no ambiguity in the image classes, but apparently only in the experts' opinions about them.