Sentence examples for in deep feature from inspiring English sources

Biology faculty produced more deep feature card pairings and fewer surface feature and unexpected card pairings in the framed task condition; however, only the increase in deep feature pairs was statistically significant.

As a population, non biology majors did, however, exhibit a dramatic reduction by 24.6% in the proportion of surface feature card pairings they constructed, with a larger increase in the proportion of unexpected card pairings (14.2% increase) compared with the increase in deep feature card pairings (10.4% increase; Figure 4 and Table 2).

The core idea of interactions is similar to the systems core idea in Vision and Change and could be a separate deep feature in a future card stimulus set.

For all four hypothesized deep features, a significantly larger proportion of biology faculty (n = 23) used each hypothesized deep feature in naming one or more of their card groups as compared with non biology majors (n = 101).

However, this shift was from an ∼8 card move difference from a deep sort feature sort in the unframed task condition to an ∼6 card move difference from a hypothesized deep feature sort in the framed task condition.

Of note, no biology faculty ever produced an exact hypothesized surface feature sort, nor did any non biology major ever produce an exact hypothesized deep feature sort in the unframed task condition.

In summary, both participant populations shifted toward constructing card groupings that were more similar to the exact hypothesized deep feature sort in the framed task condition compared with the unframed task condition, with non biology majors also significantly shifting away from constructing card groupings closer to the exact hypothesized surface feature sort.

This suggests that the explicit biological framing and requirement to sort into the researcher's four deep feature categories in the framed task condition appeared to slightly sharpen but not fundamentally alter the biology faculty population's performance on this task.

In this paper, we design a deep feature based framework for breast mass classification task.

Statistical comparison of these means showed that non biology majors continued to generate a significantly smaller proportion of deep feature card pairings in the framed task condition than biology faculty (p < 0.0001).

Statistical comparison of these means showed that non biology majors generated a significantly smaller average percentage of deep feature card pairings in the unframed task condition than biology faculty (p < 0.0001).