Sentence examples for stochastic sampling method from inspiring English sources

We propose a stochastic sampling method that allows for selecting users with a small perturbation.

The second half of Fig. 5 models multi-agents by using the Monte-Carlo stochastic sampling method based on the multi-dimensional probabilistic distributions generated in Section 3.

In this framework, the nuclear data uncertainties related to cross-sections, neutron multiplicity and fission spectrum, provided via SCALE-6.2b4 based variance-covariance matrices, are propagated using the stochastic sampling method in all types of core calculations, including cycle depletion, validation against flux measurements and safety calculations typically required for reload licensing.

Five administrative districts including Songjiang, Baoshan, Pudong, Minhang and Nanhui were selected as study districts by a simple stochastic sampling method.

In contrast to stochastic sampling methods, humans utilise past experience to evaluate the costs of their actions in the future and to guide their search.

While stochastic sampling methods remain widely used to simulate solutions of partial differential equations with random parameters, due to ease of implementation on a parallel computing architecture, they can nevertheless carry a considerable computational cost, especially if reliable statistics are sought at high levels of spatial fidelity.

This allocation is done according to imperialists fitness (fewer cost) by stochastic universal sampling method.

In this paper stochastic sampling as a method of frequency sparse signal acquisition is presented.

A novel computational approach, namely the extended unified interval stochastic sampling (X-UISS) method, is proposed to calculate the statistical characteristics (i.e., mean and standard deviation) of the extreme bounds (i.e., lower and upper bounds) of the concerned responses (e.g., displacement and stress) of engineering structure involving hybrid spatially dependent uncertainties.

In order to determine the probabilistic characteristics (i.e., means and standard deviations) of the extremities of structural natural frequencies, an extended unified interval stochastic sampling (X-UISS) method is implemented for the purpose of effective hybrid uncertain free vibration analysis.

To overcome local convergence of the EM method, stochastic sampling based algorithms have been proposed in [120] for state estimation of JMLS.