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A control-like problem and a structural optimization problem are formulated using a common framework.
This paper presents how commonly used machine learning classifiers can be analyzed using a common framework of convex optimization.
Here, evidence from each tradition is synthesized separately using methods consistent with each tradition before integration takes place using a common framework.
This gives us substantial power to examine the statistical relationships between robustness and potential causal variables using a common framework.
To achieve this, it was necessary to qualify the results using a common framework.
The project was done through several integrated strands of work, all using a common framework.
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The Index uses a common framework for the design and evaluation of policy that can be customised to locally relevant agri-environmental issues and circumstances.
We recommend that everyone uses a common framework.
Rather, we developed this to be a working model, one that will allow clinicians and researchers alike to use a common framework to discuss dual task interference regardless of modality and to view previous studies and develop questions of interest.
We pilot-tested this framework in 12 low and middle income countries, using key informants to gather existing data from countries using a common conceptual framework (see below).
Interviews were analysed using a common analytic framework developed for cross-country comparison and themes were coded using Nvivo.
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