| 1. | Approximation algorithm of misclassification minimization
错误分离最小化的一个新的近似算法 |
| 2. | Both of the two methods can solve misclassification in the normal segment method
这两种算法的提出，很好解决了一般分割方法处理肝脏mdct图像产生的误分问题。 |
| 3. | 2 . develop an improving small region growing method to solve the misclassification evocated by blur boundary between liver and adjacent organs . 3
提出小区域增长算法，以解决由于肝脏与相邻器官的边界模糊而引起的所谓误分现象。 |
| 4. | The diagnostic power of the classifiers was compared regarding their misclassification error rates and area under the receiver - operating characteristic curve
考虑到其误分类错误率及受试者工作特征曲线下面积，该分类机的诊断效力有一定可比性。 |
| 5. | Study limitations included the lack of recording for tumor grade and estrogen - receptor status , and the possibility of misclassification of some hereditary cases
本研究的局限性包括缺乏肿瘤分级和雌激素受体状态的记录，以及可能对某些遗传性病例分类错误。 |
| 6. | This paper gives the definition of " loss matrix of groups distance " . using this definition we can illustrate the loss of misclassification in multi - groups quantitatively and more practically
本文给出了“总体距离损失矩阵”的定义，应用这个定义定量地说明了多个总体之间误判的代价，更加符合实际意义。 |
| 7. | As the expriment result shows , we can use the range of misclassification rate ( which the maximum entropy model supports ) as the indicator of whether a process is attacked
最后，我们运用最大熵原理建立进程调用序列的最大熵(分类)模型，运用模型预测系统调用和利用误分类率为检测指标，以达到更好地检测入侵目的。 |
| 8. | At the same time , after successful absorbent of the factor of misclassification cost into splitting principle of decision tree algorithm , the classification model gets a high improvement in accuracy and adaptation
同时，在传统的决策树算法的分裂准则中成功引入了误分代价的因素，从而提高了分类模型的准确性和适用性。 |
| 9. | 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。 |
| 10. | Then , with respect to the objective of minimizing the total experimental cost , the optimal test plan ( including the sample size , inspection frequency , and the termination time needed by the classification rule for each of competing designs ) is derived by solving a nonlinear integer programming with a minimum probability of correct classification and a maximum probability of misclassification
首先，我们提出一种具直观优点的分?法则，然后以总试验成本的最小化为目标，并赋予一正确分?的最小机?要求和错误分?的最大容许机? ?个限制条件，以决定出在所提出的分?法则下，各竞标设计样式所需的样本? 、 ?测频?和试验终止时间的最佳组合。 |
