  The present work brings two applications of the Lambert-Tsallis Wq function
in radial basis function networks (RBFN). Initially, a RBFN is used to
discriminate between entangled and disentangled bipartite of qubit states. The
kernel used is based on the Lambert-Tsallis Wq function for q = 2 and the
quantum relative disentropy is used as distance measure between quantum states.
Following, a RBFN with the same kernel is used to estimate the probability
density function of a set of data samples.
