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In some sense, this is analogous to the distinction between model development and model deployment.
In this paper, we present a new view of the optimization process that distinguishes between model development and formulation development.
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The new approach facilitates, e.g., business scalability and risk avoidance and clarifies the interplay between classical business model development and strategic sustainability thinking.
This paper explores the integration between basic field research, model development and application and on-ground impact.
The methods introduced in [ 29] may offer a solution to this problem but it is too early to say; in this paper we have made the assumption that the distributions of covariates are comparable between datasets used for model development and validation purposes.
This was a compromise between having sufficient data points for model development and minimising the likelihood of a zone not containing a nodal cluster as measured annual height data were not available for each tree.
A database of more than four thousand piles is utilized for model development and comparative performance between BPNN and MARS predictions.
Consistency between the analysis procedure used for both model development and on-site work is paramount, including sample preparation, environmental conditions and instrument performance.
Model development was broken into two phases: propensity model development and mortality model development.
But a lack of machine learning-specific support in the existing engineering infrastructure can create a disconnect between models in development and models in production — normal code is updated much less frequently.
The agreement between technical replicates was analyzed for correlation between model metrics in the first and second replicates for the model development set and between the first and second replicates for the validation set respectively (Supplementary Fig. 1).
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