12 citations · 48 across the 11 of their papers we have counts for
4 papers · 1 filter
Learning to Find Hydrological Corrections
Lars Arge, Allan Grønlund, Svend Christian Svendsen +1
High resolution Digital Elevation models, such as the (Big) grid terrain model of Denmark with more than 200 billion measurements, is a basic requirement for water flow modelling a…
Margin-Based Generalization Lower Bounds for Boosted Classifiers
Allan Grønlund, Lior Kamma, Kasper Green Larsen +2
Boosting is one of the most successful ideas in machine learning. The most well-accepted explanations for the low generalization error of boosting algorithms such as AdaBoost stem…
Algorithms Clearly Beat Gamers at Quantum Moves. A Verification
Allan Grønlund
The paper [Sørensen et al., Nature 532] considers how human players compare to algorithms for solving the Quantum Moves game BringHomeWater and design new algorithms based on the i…
Optimal Minimal Margin Maximization with Boosting
Allan Grønlund, Kasper Green Larsen, Alexander Mathiasen
Boosting algorithms produce a classifier by iteratively combining base hypotheses. It has been observed experimentally that the generalization error keeps improving even after achi…