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Table 1 summarizes classification accuracy analysis of detected burned areas.
Because RF++ is constructed to accommodate clustered data, it summarizes classification both at the replicate and subject level.
Table 1 summarizes classification accuracy analysis of detected burned areas.
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Tables S1 and S2 list all best-fit cases for the two-step and sequential models respectively, along with a summarized classification of individual Ly49-MHC class I interactions as displaying either no binding ("no"), insufficient binding to pass selection ("insuff") or sufficient binding to pass selection in itself ("suff").
To summarize classification accuracies were higher in posterior when compared with the anterior temporal cortex and were higher for classifications of (NV vs. rotNV) when compared with (clear vs. rot), this was likely to be driven by the high classifications of (NV vs. rotNV) in the left posterior STS.
Then, 10000 simulations of 5 × 5 contingency tables summarizing classifications of N objects were drawn.
Table 2 summarizes the classification results.
Table 3 summarizes the classification results using both STRF and MPEG7 features.
This chapter briefly summarizes the classification, distribution, and various aspects of functional as well as regulatory mechanism of MTs.
Table 4 summarizes the classification of the scenarios that focus on two categories of EMI and two for technological change.
Table 1 summarizes the classification rates for different amounts of attractors in the memory.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com