In many conventional scientific investigations with high or ultra-high dimensional feature spaces, the relevant features, though sparse, are large in number compared with classical statistical problems, and the magnitude of their effects tapers off to zero from the largest to the smallest.Therefore, it is reasonable to nodel the number of relevant features as a diverging sequence when sample size increases.