most citedProcess-guidance improves predictive performance of neural networks for carbon turnover in ecosystems

2 citations · 2 across the 1 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2016

Computing AIC for black-box models using Generalised Degrees of Freedom: a comparison with cross-validation

Severin Hauenstein, Carsten F. Dormann, Simon N Wood

Generalised Degrees of Freedom (GDF), as defined by Ye (1998 JASA 93:120-131), represent the sensitivity of model fits to perturbations of the data. As such they can be computed fo…