错误分类 meaning in Chinese
error category
mis-classification
Examples
- Obviously , it is far from the requirement to determine the taxonomy condition depending on morphological characters alone , for there are too many reasons that will lead to wrong classification
从树状图很容易看出仅仅通过形态学指标对粘细菌进行分类已经不能满足需要，许多外界因素都会导致错误分类。 - Models incorporating time - varying covariates enhanced predictive power by reducing misclassification and incorporating day - to - day changes in extra - renal organ system failure and the provision of dialysis during the course of arf
通过减少错误分类，加入肾外器官衰竭逐日变化和arf期间透析的提供，这些时间变化因素的加入增加了模型预测力。 - This is not a must , however ; some utilities simply return 1 for any error condition and 0 for success , whereas others classify errors into categories , and return one of a smaller range of codes , say 1 , 2 , or 3 , depending on the category
不过这不是必须的；有些实用程序对任何错误条件都简单地返回1 ，若成功则返回0 ，而其它实用程序则将错误分类，并根据类别返回较小范围代码（比如1 、 2或3 ）中的一个。 - The latter classification method combined variable precision rough set model with k - nn classification method , so we can control the classification accuracy rate by the most endurable given error classification rate , then we can make the classification result conform to what we expect , and also some examples are given
后一种分类方法是将可变精度粗集模型与k - nn分类结合起来，从而可通过给定最大容忍的错误分类率来控制分类的准确度，使分类结果达到所期望的目的。并且给出了一些例子。 - In the detection and retrieval of the moving objects , the presence of shadows in an image can lead to misclassify the objects or merge the different objects , and bring the wrong results for the following advanced process , so it can ’ t track the object accurately and give the correct understanding and description of the objects
在运动物体检测与提取中,阴影的存在会导致物体的错误分类或者使不同物体相互融合,为后续的高级处理带来错误的结果,导致不能够很好的跟踪物体以及对物体的行为进行理解和描述。