Sentence examples for tasks we compare from inspiring English sources

For both tasks, we compare the proposed methods with various conventional methods.

Similarly, for communication tasks, we compare two routing and data scheduling algorithms that are implemented in a centralized or a distributed manner.

To understand the relative difficulty of these tasks we compare the performance of several AFP methods under evaluation protocols that directly capture these tasks and also compare them to the typically used alternative, which is CV.

Using fMRI and two purpose-made tasks, we compared hedonic and BOLD responses to relief with responses during an appetitive reward task in 18 healthy volunteers.

Since we were interested in differences between the individual tasks, we compared performance in the Identity task and the Control task using a 2 (task – Control/Identity) ×2 (expertise – Experts-Novices) ANOVA.

For data collected from object recognition, water maze, prepulse inhibition, and passive avoidance tasks, we compared the statistical differences between groups, using the two-way repeated measures ANOVA test, performed with the same SPSS package.

Using a battery of neuropsychological tasks we compared the cognitive performance of hand-reared and wild-caught starlings.

For both verbal and nonverbal learning tasks, we compared children with SLI with an age-matched control group, but in addition we tested a 'grammar-matched' group of younger typically developing children.

For both reactive and proactive tasks, we compared three possible influences of context on the execution process: drift rate modulation (F ), boundary shift modulation (G ), and onset delay modulation (H).

Through interuniversity collaboration using a matched experimental design and task, we compare production of complex sentences containing relative clauses by normal monolingual children during normal development, healthy young adults, healthy aging adults, and aging adults diagnosed with mild cognitive impairment, a recognized potential harbinger of Alzheimer's disease.

For each task, we compare the following six classification techniques: support vector machines, nearest shrunken centroids, decision trees, ensemble of voters, naïve Bayes, and nearest neighbor.