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In their recent work, Martino, Elvira et al. proposed adaptive population importance sampling [22] and gradient adaptive population importance sampling [23] that adapt the mean and the covariance of proposal Gaussian pdfs, and reported significant improvements with respect to MIS that keeps the individual proposal pdfs fixed.
We propose to attack this problem using an adaptive population of intelligent agents mining the Web online at query time.
Adaptive population management has been successfully applied to reduce stationary hot spots of tsetse flies.
A fundamental problem in evolutionary biology is to understand the genomic architecture associated with adaptive population divergence and reproductive isolation.
For example, genomic scans using molecular markers, such as AFLPs, are frequently used to infer adaptive population divergence [ 55- 57].
Thus, adaptive population divergence seems to be possible and may even be prevalent despite seemingly high levels of gene flow often found in marine fishes.
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We present results suggesting that augmenting search engines with adaptive populations of intelligent search agents can lead to a significant competitive advantage.
Tregs are developmentally classified into natural, induced or adaptive populations.
When a genetic variant becomes adaptive, populations experience changes in allele frequencies that reflect the strength and recurrence of the selective pressure(s).
Let us further assume that these changes result in a change in the adaptive population-scale mutation rate between Θmin = 10−3 and Θmax = 1.
Using an adaptive population-based Markov chain Monte Carlo (McMC) method in a Bayesian framework, we fitted the mathematical model to the observed parasite number and PAD1 expression in each infection (see Document S2).
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