Sentence examples for mixture of adaptive from inspiring English sources

A mixture of adaptive Gaussians is used in this approximation such that as the parameters of the Gaussians are updated, the Gaussians are estimated based on a simple heuristic to find out those which are part of the ' background process'.

Overall, the extent of genetic divergence between populations is determined through a mixture of adaptive and neutral processes [ 61].

The radiation of phyllostomid bats is actually a number of radiation episodes nested within each other, caused by a mixture of adaptive and non-adaptive evolutionary mechanisms.

Plasticity provided a mixture of adaptive and maladaptive responses to climate change, highlighting that plasticity frequently, but not always, could ameliorate climate change.

At 72 h, the response to IHNV consist of a mixture of adaptive (MHC, IG) and innate (C3aR, complement related serine proteases, lysozyme C) immune and stress (HSP70, hemostasis) responses against a background of metalloproteinase-mediated matrix remodeling (table 3).

The radiation of phyllostomid bats was marked by a complex mixture of adaptive and non-adaptive mechanisms through a period of extreme environmental changes when new ecological niches were probably emerging and disappearing quickly.

We can extract the bounding box of the object in the surveillance video, using the background subtraction method of adaptive Gaussian mixture model [16, 17].

In order to address the impact of perturbation on state estimation, an adaptive estimator based on modified mixture-of-expert framework is given.

In this approach, the pixel evolution is statistically modeled as a multimodal signal, described using a time-adaptive mixture of Gaussian components, widely employed in the surveillance community.

West 2000 used five neural network models: multi-layer perceptron, mixture-of-experts, radial basis function, learning vector quantization, and fuzzy adaptive resonance for individual credit.

This paper investigates the credit scoring accuracy of five neural network models: multilayer perceptron, mixture-of-experts, radial basis function, learning vector quantization, and fuzzy adaptive resonance.