该数据集是一个基准测试，用于评估在汉密尔顿路径问题中，带有动态一致性检查（DCC）的s(CASP)算法与不带有DCC的算法的性能表现。数据集包含了不同规模图上的性能结果，以秒为单位，并附有加速因子。规模覆盖了从4个顶点到7个顶点的各种图形。该数据集的任务是对带有DCC的s(CASP)算法的性能进行评估。

arXiv100

Histogram variances of the original and encrypted images.

图像加密

算法评估

Histogram variances of the original and encrypted images.

Figshare2020-10-23 更新30

Results from automated algorithms.

算法评估

生物身份识别

Genuine accept rates and their standard deviations at different false accept rates of the proposed approach along with comparison to COTS and SRC.

Figshare2015-12-02 更新20

2d synthetic dataset from Clustering: how much bias do we need?.

算法评估

偏差分析

Scientific investigations in medicine and beyond, increasingly require observations to be described by more features than can be simultaneously visualized. Simply reducing the dimensionality by projec

The Royal Society Figshare2020-10-15 更新40

Sensitivities (%) of various predictors on the signal peptide protein benchmark datasets.

信号肽预测

算法评估

Sensitivities (%) of various predictors on the signal peptide protein benchmark datasets.

Figshare2015-12-02 更新30