Sentence examples for tasks we present from inspiring English sources

Due to the differences in the tasks, we present design details for each task separately.

Given that the tasks we present are not difficult, we do not expect to see any variation in accuracy across subjects or tasks.

Together, the results suggest that the additional daily practice and the opportunities for learning-by-doing in naturalistic conditions it afforded effectively improved performance on the localization tasks we presented.

To solve this task, we present below the method of moment equations.

Different from all existing methods thus far proposed for this task, we present a space-time link analysis approach which consistently matches or exceeds the performance of traditional unsupervised action categorization methods in various datasets.

With reference to robots that are redundant for a given task, we present a novel and intuitive approach allowing to define a discrete-time joint velocity command that shares the same characteristics of a second-order inverse differential scheme, with specified properties in terms of joint acceleration or torque.

To provide interested laboratories with methods for this task, we present a bundle of PCR assays to be used for subtype identification.

The former aligns reads to a reference, and we can use those alignments for a variety of purposes, including the classification task we present here.

Using an instrumental learning task, we present the first direct experimental evidence of a disruption in goal-directed action control in OCD.

The second level 3 task we present, like the worm problem, introduces the idea of using a simple model to reason about a biological phenomenon.

To demonstrate how the set operations implemented in GenomeTester4 can be used to accomplish this task, we present an example of how to find sex-chromosome-specific repeats in a cow genome for fluorescence in situ hybridization.