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. Author manuscript; available in PMC: 2016 Apr 22.
Published in final edited form as: IEEE Trans Neural Netw Learn Syst. 2014 Oct;25(10):1879–1893. doi: 10.1109/TNNLS.2013.2297686

Fig. 1.

Fig. 1

The two plots in this figure show the contradiction between the RSS and the curvature measure with respect to: (a) the kernel parameter σ, and (b) the regularization parameter λ in Kernel Ridge Regression. The Boston Housing data-set [5] is used in this example. Note that in both cases, while one criterion increases, the other decreases. Thus, a compromise between the two criteria ought to be determined.