The Santa algorithm in Tellurium 0.7.0 further improves the test robustness by locating the whole UI module in a single attempt.
Tellurium0.7.0中的Santa算法通过一次定位整个的UImodule，从而进一步提高测试的智能性。
A feature split algorithm is presented which can test whether this algorithm will outperform the traditional algorithms without using a feature split with a just single view.
首先给出了属性分割的有效性测试算法，它能检测基于当前分割的交互学习算法是否优越于传统的不划分属性的单一数据集的学习算法；
This paper introduces the composition?controller and its algorithm?parameter design and simulation test based on direct current timing system of single nerve cell.
介绍了基于单神经元控制的直流调速系统的结构组成，单神经元控制器及其学习算法设计，单神经元直流调速系统参数设计和微机仿真试验。
In order to test the performance of the algorithm, several object functions are optimized including single-modal and multi-modal function.
为了测试该算法的性能，选择了几个目标函数进行优化，包括单峰函数和多峰函数。
According to the test, comparing with single FCM and APSO algorithm, this algorithm is more accurate in clustering and higher efficiency as well.
实验表明：新算法与单一的FCM和APSO算法相比聚类更准确，效率更高。
We test the algorithm performance in the cases of single watermark, double watermarks and multi watermarks when different distortions such as JPEG compression, image resizing and cropping are applied.
该文就单水印，双水印以及多水印情形进行了仿真并进行JPEG压缩、图像缩放、剪切等失真测试。
We test the algorithm performance in the cases of single watermark, double watermarks and multi watermarks when different distortions such as JPEG compression, image resizing and cropping are applied.
该文就单水印，双水印以及多水印情形进行了仿真并进行JPEG压缩、图像缩放、剪切等失真测试。
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