We analyze the dynamics of the Learning-Without-Recall model with Gaussian priors in a dynamic social network.
Nearest neighbor cells in R(d), d is an element of N, are used to define coefficients of divergence (phi-divergences) between continuous multivariate samples.
We establish Gaussian limits for general measures induced by binomial and Poisson point processes in d-dimensional space.
The knowledge of the target speech presence probability in a mixture of signals captured by a speech communication system is of paramount importance in several applications including reliable noise
This paper presents an application of the firefly algorithm (FA) to Gaussian Process (GP)-based localization.
Previously, we have described a general theoretical procedure referred to as Gaussian-3 (G3) theory for the quantum chemical computation of total energies of molecules at their equilibrium geometri
In a previous paper, we described a general procedure referred to as Gaussian-3 (G3) theory for the quantum chemical computation of total energies of molecules at their equilibrium geometries.
A Variation of Gaussian-3 (G3) theory is presented in which the basis set extensions are obtained at the second-order Moller-Plesset level.
The calculation of the binding energies of molecules to chemical accuracy (1 kcal/mol error) is an extremely challenging problem.
Previously we have described a general theoretical procedure referred to as Gaussian-3 (G3) theory for the quantum chemical computation of total energies of molecules at their equilibrium geometrie
