Skip to main content
Fig. 7 | BMC Medical Informatics and Decision Making

Fig. 7

From: Sparse multi-output Gaussian processes for online medical time series prediction

Fig. 7

The estimated population-level basis kernels and corresponding Bq matrices for patients with neoplasms. We show the kernels estimated (a) without a sparse prior (Q=5) and (b) with a sparse prior (Q=5). The sparsity of the Bq matrices are calculated as the percentage of nearly zero entries (i.e., values ≤10−3). The units for length-scale or period are (d) for days and (h) for hours

Back to article page