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Cohen explains that because these models were always the same, feeding them more data was eventually going to provide diminishing returns (for example, their models were bad at recognizing how pronunciation depends not only which words are being said, but also their context).
Cohen explains that because these models were always the same, feeding them more data was eventually going to provide diminishing returns (for example, their models were bad at recognizing how pronunciation depends not only which words are being said, but also their context).
Because these models were intended to identify variables for entry into a composite model, the alpha level for variables retained in each of these analyses was set at p < 0.15.
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These models were chosen because they are supported by theory and their parameters have biologically meaningful interpretations.
These models were chosen because of the large amount of data available concerning the biochemical properties of their photosynthetic apparatus (figure 4).
These models were selected because they exhibit differential susceptibilities to B. pseudomallei infection: C57BL/6 mice are more resistant (13, 14 ).
These models were selected because they had previously been found to perform well with arthropod mitogenomic data [ 43, 68].
These models were used because they accounted for the outcome types (binary and counts respectively), and were suited to the matched nature of the data [ 44].
These models were selected because they recapitulate the genetics and drug sensitivity of the main molecular subtypes of human breast cancer [ 42].
Reliability is very good, which is not surprising because these models are effectively downsized Toyotas.
Because these models are approximate models, the introduction of process model mismatch may have a significant effect on the success of the process optimization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com