Sentence examples for a stochastic selection of from inspiring English sources

To determine nonlinear I-V characteristics, the model was implemented to include a sequential tunneling mechanism of charge transfer by means of a stochastic selection of low resistive links ruled by the voltage-dependent probability[14, 15]: P i, j = exp − 2 l i, j ℏ 2 m ( Φ − e V i, j ), (3).

The selection of a LSC from a population during a learning session is done by a stochastic selection method [24].

2. Stochastic selection of a class subset l or m, with probability q[ l | m ](x) for l and 1 - q[ l | m ](x) for m. 3. Random selection of a single class prediction c in the above selected subset l or m.

Previous studies suggest that the splicing mechanism of short-distance tandem sites involves stochastic selection of either site [ 7].

Allelic differences in gene expression are mediated by either parent-of-origin-specific selection (imprinting) or stochastic selection of alleles for activation and/or silencing.

In the process, a stochastic model selection of random SNP effects is carried out nested in a mixed linear model with additive polygenic effects.

In the X-inactivation and allelic exclusion processes the functional capability or incapability is determined in a kind of stochastic selection by an as yet unknown selection in each individual cell: one allele stays potentially active and its partner becomes incapable of expressing itself [reviewed in [ 10]].

Here we show, using a stochastic simulation of selection between two hypothetical species, "R" (risk-seeking) and "A" (risk-averse) that, when expected reproductive fitness of the individual is unaffected by the making of the risky choice (winnings balanced by losses) natural selection (taken to the point of extinction) favors the risk-averse species.

As discussed below, this unexpected, intrinsic risk aversion of stochastic selection stems from the fact that population growth factors w in successive generations are not statistically independent, because fluctuations in fecundity are negatively correlated with the population saturation (competition) factors in subsequent generations.

To overcome this we introduce a stochastic topology selection approach, analogous to stochastic variable selection in regression models (George and McCulloch, 1995), whereby only a random subset of topologies dictated by the data is maintained.

We demonstrate a stochastic and reversible selection of CSC-like cells during metabolic stress.