169 citations · 177 across the 2 of their papers we have counts for
3 papers
cs.LG2020★ 8 cited
Transfer learning extensions for the probabilistic classification vector machine
Christoph Raab, Frank-Michael Schleif
Transfer learning is focused on the reuse of supervised learning models in a new context. Prominent applications can be found in robotics, image processing or web mining. In these…
cs.LG2020★ 169 cited
Reactive Soft Prototype Computing for Concept Drift Streams
Christoph Raab, Moritz Heusinger, Frank-Michael Schleif
The amount of real-time communication between agents in an information system has increased rapidly since the beginning of the decade. This is because the use of these systems, e.…
cs.LG2019
Low-Rank Subspace Override for Unsupervised Domain Adaptation
Christoph Raab, Frank-Michael Schleif
Current supervised learning models cannot generalize well across domain boundaries, which is a known problem in many applications, such as robotics or visual classification. Domain…