UCI

We also have tested the veracity and validity of this algorithm by experiment on a dataset from UCI.

通过UCI数据集对算法的准确性和有效性进行了实验验证。

Finally, t the completeness of the algorithm is theoretically proved, and uses the UCI machine learning database for testing.

最后，理论上证明了算法的完备性，并使用UCI机器学习数据库对属性约简算法进行测试。

Experiments on UCI data sets show that compared with traditional methods our algorithm can get more accurate rules in a shorter time.

UCI数据库上的实验结果表明，与传统方法相比该算法能够在更短的时间内得到分类精度更高的规则。

Last, through the data of UCI experiment analysis and comparison, obtain the feasibility and effectiveness of the algorithm in this paper.

最后通过UCI数据进行试验分析和对比，验证本文提出的算法的有效性和可行性。

The validity and feasibility of the proposed method are demonstrated by attribute reductions on five data sets from UCI machine learning database.

通过对UCI机器学习数据库中5个数据集的约简验证了方法的有效性和可行性。

Comparing with other algorithms with UCI data sets and miRNA data, our study shows the superiority of the method.

本文使用几组UCI数据和一组miRNA数据对比其他算法来证明方法的优越性。

This paper presents a novel double-direction compensation control scheme for UCI-APF.

该文提出单周控制有源滤波器(UCI -APF )的双向互补控制方案.

The true mission of UCI is to foster and send as many such people as possible out into society.

马来西亚国际联合学院的真正任务就是去培养并且促使更多这类的人们加入我们的社会。

Through standard UCI data sets, experiment results show the validity and effectiveness of the proposed methods.

通过标准UCI数据集验证了上述方法的有效性和实用性。

The experiments on the UCI database are done with those algorithms.

上述算法在UCI标准数据集上进行的实验证明是可行的。

The UCI could also refuse to acknowledge USADA's sanctions, though that would be unprecedented.

UCI也可以拒绝承认美国反兴奋剂机构的制裁，不过UCI并没有这样做的先例。

Novel double-direction compensation control scheme for UCI-APF

新型有源滤波器的双向互补控制方案

The experiment on artificial data and UCI data show that the proposed algorithms have greatly improved in accuracy comparing to the original ones, and is an effective tool for nonlinear dimensionality reduction.

在人工数据与UCI数据上的实验表明，我们提出的方案较原始算法在精确率上有较大提高，是有效的非线性降维工具。

The verifying experiments are executed on UCI machine learning repository and real face databases.

本文在UCI模拟数据集和人脸图像库上进行了验证实验。

The validity of the proposed algorithm is proved through the test on some databases of the UCI repository.

对UCI数据库的分类测试体现了该粗糙集数据分析算法的有效性。

My academic record at UCI directly conveys my ability to excel in the study of neuroscience.

我在UCI的学术成绩直接反应了我在神经科学这个领域的掌握程度。

Finally, by the factual process for UCI database, the validity of MDV method is proved.

最后, 通过UCI数据库实例验证了MDV方法的有效性.

Finally, it get reduction results of UCI databases using the algorithm.

最后利用该文的方法给出了对UCI机器学习数据库的例子的约简结果。

The algorithm is efficient by the UCI data experiment.

最后，对UCI数据实验结果说明该算法的有效性。

The experiment data set are also from the UCI machine learning repository.

实验数据集同样来自UCI机器学习库中随机抽取的数据集。

At last, the paper research on the application of an integrated learning, Firstly, Studied the intrusion detection data set ( KDD CUP 99 、 UCI).

最后，本文还对集成学习的应用进行了研究，第一，详细分析了入侵检测数据集（KDD CUP99、UCI）。

The UCI shall award a trophy to the winner of the World Challenge Cup competition.

国际自由车总会会颁发奖杯与世界挑战杯的获胜者。

0.75 uCi Capsular 14~ C-urea breath test for detection of H. pylori infection

0.75uCi胶囊法~（14）C-UBT诊断幽门螺杆菌感染

Experimental results on UCI data sets show that the proposed method has good performance on accuracy issue and faster computing speed than C4.5 algorithm.

基于UCI数据的实验结果表明，与C4.5算法相比，该方法不仅具有比较好的判决精度，而且具有更快的计算速度。

With the UCI standard data simulation, the modeling effect of this improved algorithm is tested.

利用UCI标准数据库中的数据集对该算法的建模效果进行了仿真验证。

Two mining algorithms are used, Decision Tree and Naive Bayes, to build the predictive model from a dataset provided by UCI Machine learning and repository for machine learning and intelligence system.

同时选择了两个数据挖掘算法，分别是决策树和朴素贝叶斯算法，利用机器学习和智能系统的UCI机器学习资源库提供的数据集建立预测模型。

These two methods are verified in several UCI datasets.

两种方法的有效性在数个UCI数据集上得到了验证。

The experiments on UCI database and ELENA database indicate that the algorithm has a high classified accuracy rate.

UCI数据库和ELENA数据库上的实验表明，该算法具有较高的分类准确率。

The algorithm is also applied to human data and UCI data, and used in the comparative experiments with standard support vector machines.

同时将该算法运用到人为数据和UCI数据中，和标准支持向量机算法做对比实验。

At last, by two UCI datasets, this paper has proved the availability of this method.

最后, 通过两个UCI数据 集中数据的验证, 表明了该方法的有效性.