If the deletion fails, an event log error is generated. 如果删除失败,将生成事件日志错误。
Deletion influence of nonlinear measurement error models based on SA-MCMC algorithms 基于SA-MCMC算法的非线性测量误差模型数据删除影响
The experimental results indicate that combining durational model with traditional recognition algorithm can effectively reduce both the deletion and insertion error rate and consequently about 47.74% total recognition error rate reduction is achieved over the baseline system. 实验表明,结合持续时间模型的语音识别算法可以有效地减少删除与插入错误率,使总体识别错误率比基带系统减少了47.74%。
Conclusion: Simple imputation is superior to case deletion in management of multivariate missing data but tends to make standard error smaller and P value lower. 结论:本资料采用删除含缺失值的观察的方法结果最差;简单填补相对较好,但容易降低标准误、减小P值;
A new method based on deletion of pseudo particles and fast computation of correlation after hierarchical matching is presented to solve the problem of error matching and fast sub-pixel computation. 针对在粒子测速系统(PIV)应用中由于粒子运动而引起的不匹配以及亚像素快速求解等问题,提出了分层匹配后伪粒子的去除方法和相位相关运算的快速求解算法。
What is more, deletion fitting method is not influenced by slight error of NMO correction velocity. This method can bring a fitted high-resolution P-wave section even though hyperbolae are not flattened thoroughly ( it is not sensitive to this.) 剔除拟合法的另一个优越性还在于它不受动校正速度的微小误差的影响,即使双曲线没有拉平,剔除拟合法对此也不敏感,照样能拟合出分辨率较高的P波剖面来。
Some experiments under the relevant experimental standard are conducted with collecting 196 samples, each of which contains 20 properties for further investigation. ( 2) The progressive abnormal sample deletion method based on regression forecasting error is presented. 总共采集了196个样品的20个属性的有效实验数据。(2)提出了基于回归预测误差的异常样本逐次剔除方法。
Since the method is based on surface approximation and vertex deletion, it allows us to control the error between the generated model and the original mesh precisely. Furthermore, many experimental results show that the generated models approximate the original models good. 既然该算法是基于曲面重构和顶点删除的,那么我们可以精确地控制删除的顶点和构造的曲面模型之间的误差,并且大量的试验结果显示,该算法产生的曲面模型能够较好地逼近原始模型。
To encode the balance ability among deletion error, insertion error and substitution error, the recognition correct rate and the recognition accuracy rate are defined. 为评价文本的识别优劣,定义了识别正确率和识别准确率。两种准则可以有效刻画系统在删除错误、插入错误和替换错误上的平衡能力。