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.
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 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.
We use this API because it has been shown that it entails superior classification performance compared to other popular classifiers [40].
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.
Besides, residual and volatility are introduced and embedded into voice classification to produce superior classification result.
On synthetic data the supervised machine learning methods obtain superior classification performances with respect to the traditional DNA Barcode classification methods.
Large margin Distribution Machine (LDM) is designed to get superior classification performance and strong generalization performance.
Superior classification results are obtained compared to the other state-of-the-art methods on the same dataset.
