Properties of renormalization group flow in the neighborhood of Gaussian fixed point hierarchical
model, given by the Lagrangian. We construct the invariant neighborhood of the
Gaussian fixed
Gas mixtures IR absorption spectra decomposition using a deep neural networkAn approach to multicomponent gas
mixtures IR absorption spectra decomposition using a
deep neu
Signal resolution poly-gaussian algorithm for non-gaussian interference simulation compensating inaccuracy and
modeling errors that occur when traditional visual and imitative mathematical
The resolution of signals classes mixture, described by Poly-Gaussian probability density distribution distributions are unknown. For obtain of poly-
Gaussian distribution of probability density the method of maximal
The resolution of signals classes mixture, described by Poly-Gaussian probability density distribution distributions are unknown. For obtain of poly-
Gaussian distribution of probability density the method of maximal
Properties of renormalization group flow in the neighborhood of Gaussian fixed point hierarchical
model, given by the Lagrangian. We construct the invariant neighborhood of the
Gaussian fixed
Exact Q-stable scalar gaussian solitons in confining modelsIn the present paper exact
Gaussian type soliton solutions in some confining
models of the charged
Developing Evidentiary Foundation Based on Assessment of Forensic Results of weighted sums of
Gaussian densities of M components (
Gaussian mixture models, GMM), where each component
On limit distributions emerging in the generalized Birnbaum-Saunders modelWe establish that the Birnbaum-Saunders distribution is the equilibrium
mixture of the inverse