Sentence examples for a superior classification from inspiring English sources

Matrix-pattern-oriented least squares support vector classifier (MatLSSVC) can directly classify matrix patterns and has a superior classification performance than its vector version least squares support vector classifier (LSSVC) especially for images.

The classification results illustrate that the proposed algorithm can provide a superior classification surface.

The classification results illustrate that the proposed algorithm still provides a superior classification surface for the Twist classification problem. Figure 8 shows using different width parameters to cover the training sample space, where each cover generates a RBF hidden neuron.

Molecular subtype has been suggested as a superior classification to determine treatment strategy for breast cancer patients.

The characters of the RMultiV-MHKS are: (1) distributing more weight to the favorable views which can reflect the property of the problem; (2) owning a tighter generalization risk bound than its corresponding single-view learning machine in terms of the Rademacher complexity; (3) having a statistically superior classification performance to the original MultiV-MHKS.

In this study, we considered that the determination of deviations from symmetry in gait is considered a binary classification task, and SVM with superior classification performance was developed to quantify gait symmetry.

Henry, who had worked in India, trumped Galton by presenting a superior fingerprint classification system at an 1899 meeting of the British Assn.

Video activity recognition is basically formed by a set of images for which CNNs have demonstrated superior classification.

We also test the robustness of the InSight system to random deletion of individual input observations.In a test dataset with 11.3% sepsis prevalence, InSight produced superior classification performance compared with the alternative scores as measured by area under the receiver operating characteristic curves (AUROC) and area under precision-recall curves (APR).

This study describes a classification methodology based on support vector machines (SVMs), which offer superior classification performance for fault diagnosis in chemical process engineering.

This paper describes a robust support vector machines (SVMs) classification methodology, which can offer superior classification performance for important process engineering problems.