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For recruitment, modelled as counts per site of either new or recruits, we applied a model with a quasipoisson error structure (to allow for overdispersion) and a logarithmic link.
We applied a model which has been tested and reported in our previous experiments [22, 23].
In our review, only a few papers applied a model (6.8%) or a variable (8.9%) selection (Table 2).
Kahar and Kendall (2010) applied a model on a real case regarding some new constraints such as distance between rooms.
In an interesting experiment, they applied a model developed by [68] to a simulation of optimal therapy design in cancer treatment.
We used a GIS approach to determine the location of maize cultivation sites, field geometries and applied a model for the calculation of geneflow scenarios.
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We also applied a model-linked upscaling approach using the random forest machine learning algorithm.
The authors of [2] applied a model-based approach, in which they used statistical features of textures for classification.
In order to solve this optimization problem, Platt [26] applied a model-trust minimization algorithm based on the Levenberg-Marquardt algorithm.
For friction research by HSAFM, Schitter and Stemmer improved a piezo tube-based AFM and applied a model-based open-loop control on it.
To estimate the proportion of Amerindian, European and African ancestry in each Brazilian, we applied a model-based clustering algorithm using the Structure software version 2.1 [41].
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