Sentence examples for boundary sample from inspiring English sources

(B) FTIR spectrum of olivine in the large-grained area without any inclusion and grain boundary (sample 372).

(A) FTIR spectrum of olivine in the large-grained area without any inclusion and grain boundary (sample 373).

Metamodel-based RBDOs with constraint boundary sampling are compared with that with conventional space-filling sampling.

In this research, constraint boundary sampling is proposed to build metamodel that can predict optimum point accurately while satisfying constraints.

Constraint boundary sampling is sequentially to locate sample points along constraint boundary by using kriging model and its mean squared error.

Here, the side-information is the dynamic pairwise constraints which are constructed by the samples near the decision boundary, i.e. the boundary samples.

The proposed active semi-supervised SVM algorithm uses active learning to select class boundary samples, and semi-supervised learning to select class central samples, for class central samples are believed to better describe the class distribution, and to help SVMAL finding the boundary samples more precisely.

In the present work, we boost the original pairwise constraints and design the dynamic pairwise constraints which can pay more attention onto the boundary samples and thus to make the decision hyperplane more reasonable and accurate.

Slack variables are introduced to limit the impact of boundary samples by generalizing the classifier, known as soft margin classification.

The zeta potential values of boundary samples AS-1 and AS-2 (ζ ≈ −18 mV) are significantly different from those of complying samples AS-3, AS-4, and AS-5 (ζ ≈ −3 mV, ζ ≈ −11 mV); see Table 2, and it can be stated that the samples with zeta potential close to zero expressed significantly higher solubility.

However, nucleation rate in the grain boundaries and sample boundaries is higher than that of other sites.