Sentence examples for classification benchmarks from inspiring English sources

The method is tested using well known classification benchmarks.

Finally, the method is compared against other classifiers on several image classification benchmarks.

A semi-supervised setting is demonstrated achieving state-of-the-art results on the MNIST classification benchmarks.

We perform comprehensive experiments on four texture recognition datasets and four remote sensing scene classification benchmarks: UC-Merced with 21 scene categories, WHU-RS19 with 19 scene classes, RSSCN7 with 7 categories and the recently introduced large scale aerial image dataset (AID) with 30 aerial scene types.

The mean squared rank was chosen based on a survey of statistical approaches for gene set analysis [ 34], and out-performed other summary statistics in a series of classification benchmarks based on tissue-specific pathway expression (see benchmarking section below).

Aggregated functional impact scores, such as CAROL [ 18], are also useful as these usually perform better in classification benchmarks for disease-causing mutations but are often not provided by current annotation tools.

Our results on a wide range of commonly used DT classification benchmark datasets prove the robustness of our approach.

Second, we used a large Ames toxicity classification benchmark [15] and LIBLINEAR [16] to evaluate the performance using binary hashed sparse fingerprints.

Experimental results on several classification benchmark problems show that the SFC-SVHC achieves good classification results with a small number of rules.

In the following experiments, we wanted to assess the quality of the encodings implemented in jCompoundMapper for several established regression and classification benchmark problems.

We test DNNs using the Adience DB [28] for the age/gender classification benchmark used in the literature [26] (Fig. 8).