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By repeated model tuning, the mechanisms that best explain the observed signals can then be identified, and to some extent such findings can be validated by other diagnostic methods and by predicting follow-up data.
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A) Future combinatorial drug discovery approaches will benefit from tighter integration of gene signatures and phenotypic screen data with computational models, tuning the models to specific cancer cell-lines.
This paper proposes a generic method for the stochastic model tuning about the random errors in IMU measurements together with other sensors.
The last one was used as the model tuning parameter and the others were predicted applying existing experimental correlations.
Table 1 summarizes the goal (model tuning and/or validation) of the measurements in the different buildings.
Reservoir characterization, building the reservoir model and tuning the reservoir model (history-matching) are the most important parts of reservoir modeling.
Moreover, the full sequentialization of the phases inhibits the early detection of badly tuned simulations and makes the model tuning spiral annoyingly slow.
We advocate a fully parallel simulation-analysis workflow as way to accelerate the simulation of stochastic model, to improve the likely to detect unknown system behaviors and to shorten the model tuning process thus improving tool usability.
This paper presents a model-selection strategy based on minimum description length (MDL) that keeps the kernel least-mean-square (KLMS) model tuned to the complexity of the input data.
The R 2 was adjusted to 0.75 for both simulation models by tuning the size of the regression coefficients.
This effect can be simulated in our growth model by tuning the ability of adsorbed monomer to diffuse over the aggregate surface to reach sites of higher coordination.
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CEO of Professional Science Editing for Scientists @ prosciediting.com