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The entire process can be split into two steps.
The training stage of a McCascade can be split into two steps: 1. Generate false-positives.
In this case, under certain assumptions, the estimation can be carried out recursively and can be split into two steps typically decreasing computational complexity and relaxing memory requirements [7].
The method can be split into two steps at each iteration.
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The training stage of a cascade can be split into three steps: 1. Gather training data.
Without loss of generality, our resource allocation procedure is split into two steps.
The interface is moved implicitly by the advection of Φ, which is split into two steps.
The solution of the partial differential equation for the PDF is split into two steps to simplify the calculations.
For each replicate, the protocol was split into two steps.
The proof is split into four steps.
This process is split into six steps.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com