Sentence examples for membership of test from inspiring English sources

Once the decision function is learnt from the training data, it can be used to predict the group membership of test individuals, case by case.

The GPC gave predictive probabilities for stimuli of class 1 and class 2. The predictive probability thereby gave a measure of the confidence of the classifier (i.e., GPC) about the class membership of the test pattern (i.e., the pattern of whole-brain activation for the test subject).

Next, feature vectors which belong to the overlapped clusters will be excluded, and finally, based on the membership of the test feature vectors, the class label of the corresponding signal is determined.

The predictive probability measures the classifier confidence about the class membership of the test example.

The peptides were then used to train an SVM and predict class membership of the test set.

The predictive probability measures the classifier confidence about the class membership of the test example, and can therefore be used as a proxy for ambiguity or consistency of differential patterns of neural activity (see Supplementary material for a detailed description of GPC).

The hierarchical model adds a second level of linear regressions for the SNP parameters s, which represent the pathway memberships of the tested SNPs.

However, if the IOC is unwilling to exclude rogue nations from membership, no amount of testing will make much difference.

Based on this separation, the class membership of a new participant (test data) can be predicted, and the accuracy of these predictions quantified.

In order to efficiently verify gate level arithmetic circuits, we model the circuit and the specification with polynomial system and the verification problem is formulated as membership testing of the given specification polynomial in corresponding ideal of the circuit polynomials.

We introduce a test for membership of S and ς with a number of coverage tests linear in the number of examples.