Our algorithm has two advantages.
该算法有两个优点。
Hi, our algorithm knows your career dreams!
嗨，我们的算法能预测到你的职业梦想！
The experiment results show that our algorithm is feasible.
实验结果表明所提出的算法是行之有效的。
Experimental results indicate that our algorithm is effective.
实验结果表明给出的算法是有效的。
The simulated results indicate that our algorithm is feasible.
模拟结果表明该算法是可行的。
It represents the "strength" level of the word, figured out by our algorithm.
它代表相应单词的“强度”等级，是根据我们的算法得出的。
Finally, we develop our algorithm to solve MTSP and give the concrete method.
最后还将改进的算法进行适当推广，给出了求解多旅行商问题(mtsp)的具体步骤。
Our algorithm employs the Divide and Conquer strategy, bisection and secants iteration.
该算法以二分法、割线法迭代为基础，采用分而治之策略。
Experiment results on real life check images demonstrate the efficient of our algorithm.
在支票上的试验表明该算法是有效的。
The experiment results show that our algorithm is efficient enough for practical demands.
实验结果表明，该算法效率高，合成效果达到了实用的要求。
Notice that the compile method includes the optimization specified by Step 2 of our algorithm.
注意，compile方法包括算法的第2步所指定的优化过程。
Our algorithm takes full advantage of GPU and effectively balances the workload between CPU and GPU.
算法不仅充分发挥了GPU的性能并且有效地均衡了GPU和CPU之间的负载。
Our algorithm takes these factors into account and achieved 94.4% sensitivity and 99.4% specificity.
我们的计算方法将这些因素考虑进来，并获得了94.4%的灵敏度和99.4%的专一性。
In comparison with the conventional algorithm, the calculating speed of our algorithm can be doubled.
与后者相比，这种算法所需迭代次数可减少一倍，因而运算速度可以得到较多的提高。
Results Datasets have been used to test our algorithm, and results show that our method is effective.
结果实验表明这种算法能取得良好的分割结果。
Here, we compare these methods with our algorithm, which we call item-to-item collaborative filtering.
在此，我们就这些方法与我们的算法——我们称之为商品到商品的协同过滤——进行对比。
The experimental results given at the end of this paper demonstrate the effectiveness of our algorithm.
最后给出的实验结果证明了本文方法的有效性。
Our algorithm features a fast computing speed, a high resolution, and an excellent compatibility as well.
该系统算法性能优异，运算速度快，精度高，兼容性好。
Our algorithm is easier to realize, and can be used in many information service systems, such as search engine.
本论文中的算法实现较简单，可以应用到目前的一些信息服务系统中，如搜索引擎等。
Both computer simulation and real images test indicates that the result of our algorithm is stable and accurate.
模拟实验和真实图象实验表明，本方法的定标结果稳定，精度较高。
Simulation results showed our algorithm could predict the partition time much more accurately than the conventional ones.
模拟结果也证明我们的算法更为精准。
Our algorithm is different from the previous EP-based algorithms with respect to the kind of EP and the scoring function.
在EP的选取以及评分函数方面，我们都采用了不同于以往的基于EP的分类算法的方法。
The experiment results prove that our algorithm can meet the vision-based navigation's request for real-time and validity.
实验结果表明，该算法计算量小、鲁棒性强，完全满足视觉导航中的实时性、准确性要求。
The simulation results demonstrate our algorithm to be of high-resolution and high-precision with arbitrary array geometry.
计算机模拟结果证实了该算法对不同阵列获取的信号的测频有效性并显示出良好的高分辨、高精度性能。
The proposed algorithm is then compared with the commonly used DR algorithm, and we show that our algorithm is very effective.
最后，将提出的这种自适应DR算法与普通DR算法进行了比较研究。
This makes it possible for the extension of our algorithm to multiple-output combinational network and even sequential network.
这为进一步将该算法拓展至实际的多输出组合网络乃至同步时序网络打下了基础。
The results of our experiments show the feasibility of our algorithm to improve the accuracy of heights by airborne Lidar data.
实验结果显示，本文所提出的方法对于改善空载光达的高程精度是可行的。
Experimental results show that our algorithm has a better performance on network lifetime than the common clustering algorithms.
实验结果表明，新算法较常见分簇算法更能够延长网络寿命。
Experimental results show that our algorithm has a better performance on network lifetime than the common clustering algorithms.
实验结果表明，新算法较常见分簇算法更能够延长网络寿命。
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