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When one builds on this representation, the way in which one may maximize the genetic information from multiple markers becomes obvious.
The functional adaptability (or search distribution) depends crucially on this representation.
Based on this representation, Bayesian calibration of spatially varying parameter is investigated.
Results are presented that were obtained with a prototype of a 3-dimensional etching simulator based on this representation.
Based on this representation, spin image features are extracted that comprise only those components of highest variability among a given set of library trees.
Firstly, in this algorithm, individuals in the population are represented as discrete job sequences, and novel mutation and crossover operators are designed based on this representation.
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Our approach introduces a fundamentally new way to represent sequences which is nonetheless founded on the long-standing concept of propensity scales, and, capitalizing on features of this representation, we have used it to power a novel approach to clustering.
Based on the parity of this representation we show how the mirror neuron system may facilitate the interaction between two robots.
It will be seen later that the character of this representation on the lifted toral semigroup (T_+) is (mathrm {Det}^{-frac{1}{2}}(s - sh)).
On the one side, this representation leads to smaller and more generic representation of a binding site.
The underlying problem with this hermeneutical approach has to do with accepting the biblical portrayal of Egypt uncritically or explaining it away allegorically without reflecting on how this representation of Egypt shapes a people's self-image and self-understanding.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com