Sentence examples for selection of attributes from inspiring English sources

For those methods that ranked their selected attributes, rather than identifying a small selection of attributes, the top 10 features were used.

Each character was constructed from a series of randomly assigned strengths and weaknesses as well as variable qualities, such as morale and discipline; this meant that from a modest selection of attributes, the team able to create seemingly individual enemies.

Further analysis should be conducted on the selection of attributes by the AS component.

In the generation-evaluation phase, we applied a strategy for the selection of attributes called Wrapper (Witten and Frank 2005).

From an effort prediction perspective, the selection of attributes is one of the most important aspect for constructing the model.

In particular, this study addresses the selection of attributes and levels, as well as the cognitive load imposed on respondents.

The intervals are transformed to discretization scheme as Eq. 14, where (D_A) is a discretization scheme of attribute A, and (cut_i) is the result of cut point selection of attribute A. begin{aligned} D_A={ -infty,cut_1],(cut_1,cut_2],lD_A={ -infty+infty )} end{aligned} (14)In the example of attribute (A_1) of the Toy dataset,cut_1]ut point list has only 1 cut point at 3.5.

The domain of "Delay" is partitioned into 10 one-minute partitions plus one extra partition for delays exceeding 10 min (e.g., { 0, 1), [1, 2),..., [9, 10), ([10,infty ))}). In Bus-OLAP, the selection of attribute partitions depends on: The query requirements.

43 With the before-mentioned selection of attribute levels, a full factorial design consists of 2430 treatment scenarios (2×3×5).

The selection of attribute levels depends, among other things, on the shape of the expected effects, that is, if linear effects are expected, two levels with a wide range can be selected, while if non-linear effects are expected more attribute levels are needed.

Across the eight studies, results suggested that automatic de-selection of attributes in a TCATA task can improve discrimination and provide a more accurate description of the dynamics of sensory characteristics of products than asking consumers to de-select attributes when they are no longer applicable.