8 citations · 8 across the 3 of their papers we have counts for
3 papers
Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement
Sebastian Buschjäger, Katharina Morik
Random Forests (RF) are among the state-of-the-art in many machine learning applications. With the ongoing integration of ML models into everyday life, the deployment and continuou…
GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering
Philipp-Jan Honysz, Sebastian Buschjäger, Katharina Morik
The optimization of submodular functions constitutes a viable way to perform clustering. Strong approximation guarantees and feasible optimization w.r.t. streaming data make this c…
Generalized Negative Correlation Learning for Deep Ensembling
Sebastian Buschjäger, Lukas Pfahler, Katharina Morik
Ensemble algorithms offer state of the art performance in many machine learning applications. A common explanation for their excellent performance is due to the bias-variance decom…