3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 3 cited
Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts
Ítalo Santana, Breno Serrano, Maximilian Schiffer +1
The classical hinge-loss support vector machines (SVMs) model is sensitive to outlier observations due to the unboundedness of its loss function. To circumvent this issue, recent s…
cs.AI2019
PILS: Exploring high-order neighborhoods by pattern mining and injection
Florian Arnold, Ítalo Santana, Kenneth Sörensen +1
We introduce pattern injection local search (PILS), an optimization strategy that uses pattern mining to explore high-order local-search neighborhoods, and illustrate its applicati…