http:/parnec.nuaa.edu.cn A toy problem minSt dataset(2 vS. 5) as C(;, ui)=e 2o=lu,-uylIPa Figure 2: A toy example. Result weights of meta 05 features based prior vs. max-margin when training from two instances. (a, b Gray level of the two digits used for training. (c) The weight per pixel of max margin classifier(white is positive, black is negative) (d) The weights when using a Gaussian process prior o5 on meta-features to weight mapping. The accuracy improved from 82% to 88% relative to max-margin 2Company name www.themegallery.com A toy problem MINIST dataset (2 vs. 5)