16 citations · 71 across the 18 of their papers we have counts for
3 papers · 1 filter
A new kernel-based approach to system identification with quantized output data
Giulio Bottegal, Håkan Hjalmarsson, Gianluigi Pillonetto
In this paper we introduce a novel method for linear system identification with quantized output data. We model the impulse response as a zero-mean Gaussian process whose covarianc…
Boosting as a kernel-based method
Aleksandr Y. Aravkin, Giulio Bottegal, Gianluigi Pillonetto
Boosting combines weak (biased) learners to obtain effective learning algorithms for classification and prediction. In this paper, we show a connection between boosting and kernel-…
Kernel-based system identification from noisy and incomplete input-output data
Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson
In this contribution, we propose a kernel-based method for the identification of linear systems from noisy and incomplete input-output datasets. We model the impulse response of th…