Sentence examples for a random approximation from inspiring English sources

Exact(2)

KNN-Descent starts with a random approximation of the KNN graph, which is very similar to the RPS overlay of Vicinity or Gossple.

All these approaches are both local and sample-based, they all start from a random approximation, provided by a random sample in KNN-Decent and by the RPS overlay in Vicinity and Gossple, and progress by greedy iterations to progressively converge towards a KNN graph (possibly approximated in the case of KNN-Descent).

Similar(58)

Several expressions for the prefactor in the Kramers rate equation are examined: a random energy approximation, a correlated energy approximation, and an approximation using a single Arrhenius activation energy.

In this paper, we study a class of Shannon-McMillan random approximation theorems for arbitrary random fields on the generalized Bethe tree by comparison between the arbitrary measure and Markov measure on the generalized Bethe tree.

In the last decade, the study of random approximations and random fixed points have been a very active area of research in probabilistic functional analysis.

Using this basic rejection algorithm, the accepted values (θi) form a random sample from an approximation of the posterior distribution.

We consider a random variable Y and approximations Yn, n∈N, defined on the same probability space with values in the same measurable space as Y.

Quantization consists in studying the Lr-error induced by the approximation of a random vector X by a vector (quantized version) taking a finite number n of values.

Before 2000, when not every household possessed a telephone, in particular in the eastern parts of Germany, a good approximation of a random sample of the population was achieved by contacting subjects directly in their homes guided by routing instructions.

We simulated individual dispersal as a random process (the mean-field approximation), a percolation process (PD) or a nearest-neighbor process (NND) on random and fractal neutral landscapes across gradients of habitat fragmentation and abundance (0.1 90%).

In order to do so, our model predictions were tested against a random model using the normal approximation to the binomial distribution.

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