完全偶图是具有二分类的简单偶图。
A complete bipartite graph is a simple bipartite graph with bipartition.
二分类数据不应作计数资料处理。
目的解决二分类反应资料危险度指标区间估计问题。
因此，栅栏模型可认为是二分类回归模型和零截尾计数模型的联合。
Therefore, the Hurdle model can be considered the combination of binary regression model and the zero-truncated count model.
同样地，根据第一分类的衡量，墨西哥优于巴西，但在第二分类上就落后于巴西。
Similarly, Mexico beats Brazil on the first measure, but falls behind on the second.
本文研究基于凸风险最小化方法的多分类贪婪算法，推广二分类的学习问题到多分类的情形。
In this paper, learning algorithm for solving multi-category classification using convex upper losses is studied.
目的实例介绍倾向评分法的基本原理和适用条件，设计适用于分析二分类资料的SAS宏程序。
Objective Through introduction of principal theory and algorithm of propensity score to design SAS macro programs for binary data.
支持向量机（SVM）是建立在统计学习理论基础上的一种小样本机器学习方法，用于解决二分类问题。
Support Vector Machines(SVM) are developed from the theory of limited samples Statistical Learning Theory (SLT) by Vapnik et al. , which are originally designed for binary classification.
依据简化算法实现了二分类故障分类器的参数优化，并应用于汽轮发电机组的蒸汽激励和轴瓦松动故障的分类器中。
The simplified algorithm was applied to fault classifier which classifies steam oscillation fault and bearing bushing looseness fault of turbogenerator set.
对于二分类变量的结局来说，你只需输入事件发生数(在本例中，即发生头痛的人数)和每组的总人数。将下表的数据输入表格中。
For dichotomous outcomes, you will need to enter the number of events (in this case, the number of headaches) and the number of participants in each group. Enter the following data into the table.
这种区分方法带来了一些有意思的对照：尽管委内瑞拉人在第一大分类里要好过秘鲁人和哥伦比亚人，但他们在第二分类里的遭遇更糟糕。
The division throws up some interesting contrasts: whereas Venezuelans are better off than Peruvians and Colombians by the first category of indicators, they fare much worse in the second.
本文的工作重点在前端，设计了一种进行意识思维任务时脑电信号(EEG)的高辨识率二分类bci，并提出了一种应用此二分类bci进行多种工作任务识别的方法。
Here the focus is the front, designing a high classification BCI only using simple sensibilities mental task EEG signal and indication a method using this BCI to sort many kinds of tasks.
本文的工作重点在前端，设计了一种进行意识思维任务时脑电信号(EEG)的高辨识率二分类bci，并提出了一种应用此二分类bci进行多种工作任务识别的方法。
Here the focus is the front, designing a high classification BCI only using simple sensibilities mental task EEG signal and indication a method using this BCI to sort many kinds of tasks.
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