Sentence examples for real classification from inspiring English sources

The experimental comparison contains different real classification data taken from the literature and a simulation study.

In many real classification scenarios the distribution of test (target) domain is different from the training (source) domain.

However, the generalization abilities of SVMs often rely on whether the selected kernel functions are suitable for real classification data.

In many real classification tasks, using a single classifier often fails to capture all aspects of the data.

To verify this viewpoint, several real classification experiments are conducted to demonstrate that the performance of the regression-based classification technique is comparable to regular FDA and SVM.

In the sequence of frames with 400 [ms] inter-frame interval, the comparison results between the estimated and real classification are shown in f and g, respectively.

The closest matching between satellite and real classifications, also proved by Sannier et al (2014) via empirical investigations, rendered the x j s accurate and effective proxies for the y j s to be suitably used at the estimation level by the D estimator.

Most real life classification problems, including text classification, genetic classification, medical classification, and others, are complex in nature and are characterized by high dimensionality.

Multi-instance learning (MIL) is one of promising paradigms in the supervised learning aiming to handle real world classification problems where a classification target contains several featured sections, e.g., an image typically contains several salient regions.

As this study was designed to test how each system performed in a "real life" classification situation, membership of the classification teams was intended to reflect usual procedures at each of the participating sites.

The experimental results show that an improvement is possible with the proposed technique in most of the real world classification problems.