Figure 9
From: Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
The estimated marginal posterior PDF of the width parameter of an GK for each real data study case (dotted lines present the prior PDF). (a) For the leukemia dataset, the mode of the posterior PDF is at around 2.79. (b) For the SRBCT dataset, the mode of the posterior PDF is at around 2.36. (c) For the breast cancer dataset, the mode of the posterior PDF is at around 3.19. (We also noticed that there was a local peak on the left, which was at around 0.56). (d) For the colon dataset, the mode of the posterior PDF is at around 2.38.