2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 1 cited
Improved active output selection strategy for noisy environments
Adrian Prochaska, Julien Pillas, Bernard Bäker
The test bench time needed for model-based calibration can be reduced with active learning methods for test design. This paper presents an improved strategy for active output selec…
cs.LG2020★ 2 cited
Active Output Selection Strategies for Multiple Learning Regression Models
Adrian Prochaska, Julien Pillas, Bernard Bäker
Active learning shows promise to decrease test bench time for model-based drivability calibration. This paper presents a new strategy for active output selection, which suits the n…