Sentence examples for the test instance from inspiring English sources

A modified decision tree algorithm is proposed to determine the neighborhood of the test instance.

When LVDM computes the distance between a test instance and each training instance, the conditional probabilities in VDM are estimated by counting from the neighborhood of the test instance only instead of from all the training data.

Our hypothesis is that an unlabeled instance's nearest neighbors provide valuable information to enhance local learning and generate a classifier with refined decision boundaries emphasizing the test instance's surrounding region.

Step 1 To classify the test instance, the words present in the test instance are collected.

Each tree's classification of the test instance is recorded as a vote.

The test instance is a document containing approximately 100 text objects.

Results indicate that the proposed approach is competitive in most of the test instances.

In particular, optimal solutions are found in a second for all the test instances that have a known optimal solution.

In addition, the reduced route lengths on the test instances and the real-world application to rental bikes distribution demonstrate the benefit of the SPDP in logistics.

To prove the method is sound and effective, we build a prototype tool – NetProtocolFinder, and select some documented protocol and undocumented protocol messages as the test instances respectively.

The simulated annealing algorithm obtains a 95% improvement on time delays in less than one second of computation for the test instances generated, which means that it can be used online for high-demand scenarios to reduce delays.