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cs.LG2018
Uncertain Trees: Dealing with Uncertain Inputs in Regression Trees
Myriam Tami, Marianne Clausel, Emilie Devijver +4
Tree-based ensemble methods, as Random Forests and Gradient Boosted Trees, have been successfully used for regression in many applications and research studies. Furthermore, these…
cs.LG2017★ 1 cited
Sparse hierarchical interaction learning with epigraphical projection
Mingyuan Jiu, Nelly Pustelnik, Stefan Janaqi +3
This work focuses on learning optimization problems with quadratical interactions between variables, which go beyond the additive models of traditional linear learning. We investig…