arXiv · 1904.09185
Radial basis function network using Lambert-Tsallis Wq function
Abstract
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.
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J. L. M. da Silva, F. V. Mendes, R. V. Ramos. 2019-04-18. Radial basis function network using Lambert-Tsallis Wq function. https://doi.org/10.1016/j.physa.2019.122168
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