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The Exp-ARX model requires only offline identification.
The Exp-ARX model requires only off-line identification.
The model requires only pure component and binary temperature-dependent interaction parameters.
A high-spatial-resolution HRTF prediction based on the tensor model requires only one regression.
The model requires only structural dimensions and shade tolerance as species parameters.
This mixture model requires only two parameters, and it can capture the algebraic tail as well as the mode.
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A sensitivity model requiring only two straightforward preliminary measurements to determine the parameters is presented.
This is a parsimonious model requiring only two parameters per season.
While the final features used for the model required only 4 GB, both feature creation and generating the top performing model takes around 48 h.
In [12], adaptation methods are used to transform the neutral model to the target model, requiring only small amounts of adaptation data.
We show that a model requiring only two types of information about a catchment (concentration time and pluviometry) can provide relevant information on source control effectiveness.
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