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1)  multivariate discrimination
多元判别
2)  multiple discriminant analysis
多元判别分析
1.
In this model, four multiple discriminant analysis (MDA) criterion functions are defined and used to achieve global optimization in finding the best segmentation by means of the smallest within-segment distance, the largest between-segment distance and segment length.
提出了一种独立于具体领域的文本线性分割统计模型,其中采用多元判别分析方法定义了4种全局评价函数,实现对文本分割模式的全局评价,寻找满足分割单元内距离最小化和分割单元间距离最大化条件的最好分割方式。
2.
In our research we employed CART(Classify and Regression Trees) and MDA(Multiple Discriminant Analysis) to establish two models with annual financial statements of China\'s 196 listed companies in 2006,and then we evaluated the model\'s accuracy with the data from 1624 listed companies in 2007.
通过分别运用分类回归树与多元判别分析模型,对196家上市公司年度财务报告数据进行建模,再利用1624家上市公司样本对所建模型进行识别能力检验。
3)  multiple discriminant function
多元判别函数
1.
Objective: Prospective certification preparatory work to establish the parameters for the hearing based on the multiple discriminant function of tinnitus dialectical clinical value.
目的:前瞻性验证前期工作中建立的以听力学指标为基础的多元判别函数对耳鸣辨证的临床价值。
4)  multivariable chaotic discrimination
多元混沌判别
5)  multivariate discrimination analysis
多元判别分析
1.
Based on the real data sets which involves different periods and different sizes of cities from national commercial banks, this paper applied the methodologies of Multivariate Discrimination Analysis, Logistic Regression, Decision Tree and Neural Network to accomplishing the detailed empirical research.
本文应用多元判别分析、logistic回归、决策树和神经元网络等4种有代表性的分类方法,对国内两组不同时期、不同规模城市商业银行的实际数据进行了全面的实证分析。
6)  multivariate discriminant analysis
多元判别分析
补充资料:里雅普诺夫判别定理
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