Before revision:  We provide uniform bounds on the approximation error  for functions in a  reproducing kernel Hilbert space  depending on the number of samples and the distribution of features.
After revision:  We provide uniform bounds on the approximation error for functions in a certain class (that is dense in a reproducing kernel Hilbert space depending on the number of samples and the distribution of features.