149 citations · 373 across the 46 of their papers we have counts for
3 papers · 1 filter
Expectation maximization transfer learning and its application for bionic hand prostheses
Benjamin Paaßen, Alexander Schulz, Janne Hahne +1
Machine learning models in practical settings are typically confronted with changes to the distribution of the incoming data. Such changes can severely affect the model performance…
The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces
Benjamin Paaßen, Barbara Hammer, Thomas William Price +3
Intelligent tutoring systems can support students in solving multi-step tasks by providing hints regarding what to do next. However, engineering such next-step hints manually or vi…
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces
Benjamin Paaßen, Christina Göpfert, Barbara Hammer
Graph models are relevant in many fields, such as distributed computing, intelligent tutoring systems or social network analysis. In many cases, such models need to take changes in…