2 papers
cs.LG2025
Lift What You Can: Green Online Learning with Heterogeneous Ensembles
Kirsten Köbschall, Sebastian Buschjäger, Raphael Fischer +2
Ensemble methods for stream mining necessitate managing multiple models and updating them as data distributions evolve. Considering the calls for more sustainability, established m…
cs.LG2024
Soft Hoeffding Tree: A Transparent and Differentiable Model on Data Streams
Kirsten Köbschall, Lisa Hartung, Stefan Kramer
We propose soft Hoeffding trees (SoHoT) as a new differentiable and transparent model for possibly infinite and changing data streams. Stream mining algorithms such as Hoeffding tr…