129 citations · 568 across the 49 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016
Recursive nonlinear-system identification using latent variables
Per Mattsson, Dave Zachariah, Petre Stoica
In this paper we develop a method for learning nonlinear systems with multiple outputs and inputs. We begin by modelling the errors of a nominal predictor of the system using a lat…
stat.ML2016★ 13 cited
Prediction performance after learning in Gaussian process regression
Johan Wågberg, Dave Zachariah, Thomas B. Schön +1
This paper considers the quantification of the prediction performance in Gaussian process regression. The standard approach is to base the prediction error bars on the theoretical…