Sentence examples for weights importance from inspiring English sources

In a last step, the customer choose the weights (importance) of each parameter according to his requirements.

So, we use a categorical feature to denote the type of region in which the target site is present and learn weights (importance measures) for the three different genic regions.

4 of these 7 grew a Propionibacterium, 4 a CNS, and 1 a Bacillus spp. Receiver Operator Characteristics analysis was performed for incubation periods of 1 to 8 days, giving equal weights (importance) to Sn and Sp. The combination of Sn and Sp values maximized at day 3 (i.e., optimal cut-off), with a sensitivity of 82.3% (CI: 72.1-90.0) and specificity of 98.8% (CI: 96.4-99.7).

Such information (i.e., "redundant" links and the weight (importance) of facts/model fragments) is important for comparing/designing a set of problems from the viewpoint of education, while it is not addressed in compositional modeling.

These training samples are selected from both source and target domains according to their weight importance, which indicates that they belong to the target distribution.

With the help of response optimizer, we have found the optimal parameter setting for all three responses: Response Goal Lower Target Upper Weight Importance GRG Maximum 0.3661 1 1 1 1.

Accident and incident statistics from North Sea helicopter transport are used in combination with expert judgements to assess the weight (importance) and the present status of the RIFs.

Therefore, we put forward a sampling strategy that selects useful samples from both target and source datasets according to their weight importance, reflecting the likelihood that they belong to the target distribution.

T-scores were calculated with weighting (importance), and partial achievement was rated as −1 to conserve the normal distribution of scores.

QUOTE instruments consist of two parts: the weight (importance) patients assign to different aspects of health care, second, patients' experiences with health care (performance).

where the parameter α (with 0 < α < 1) weights the importance of the two mentioned contributions.