30 citations · 53 across the 8 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020★ 30 cited
Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences
J. Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay +2
Kernel methods are powerful machine learning techniques which implement generic non-linear functions to solve complex tasks in a simple way. They Have a solid mathematical backgrou…
stat.ME2020★ 3 cited
Towards Causal Inference for Spatio-Temporal Data: Conflict and Forest Loss in Colombia
Rune Christiansen, Matthias Baumann, Tobias Kuemmerle +2
In many data scientific problems, we are interested in inferring causal relationships in the data generating mechanism. Here, we consider the following real-world question: how has…