样本问题

The question we need to ask about the storing of DNA samples is the same as the one bedevilling our approach to identity cards, and stiff anti-terrorism legislation.

这个问题我们要问，对於存放的DNA样本是一样的一个困扰我们的做法，以领取身份证，并在激烈的反恐怖主义立法。

We brought forward and studied some generally directive problems such as sample biasing and complexity of IS.

本文提出并研究了重要性抽样法研究中的一般性问题，包括重要性抽样法的样本有偏性和复杂性的概念。

The key component of distressed financial institutions is risk-taking behavior. The data used in this study was gathered from Taiwanese financial institutions during 1995-2004 in order to examining the change of risk-taking behavior of financial institutions among different managerial indicators in this period. Further, disserting the impact of first financial reform on the risk-taking of banking and whether characteristic of prospect theory exists in banking industry in Taiwan.

有鉴於金融机构之风险承担态度往往是金融机构是否会发生问题之关键原因，本文以1995-2004年台湾金融机构为实证样本，检验此段时期不同管理指标下金融机构风险承担态度之变化，并进一步探讨第一次金融改革对银行风险承担态度之影响与检定展望理论之特性在本国银行业是否存在。

It has become a bottleneck to use Support Vector Machine due to such problems as slow learning speed, large buffer memory requirement, low generalization performance and so on, which are caused by large-scale training sample set and outlier data immixed in the other class.

支持向量机在许多实际应用中由于训练样本集规模较大且具有类内混杂孤立点数据，引发了学习速度慢、存储需求量大、泛化能力降低等问题，成为直接使用该技术的瓶颈。

It is procedure neural network that inaugurates new approach for enormous samples recognition.

过程神经元网络的提出为大样本识别问题开辟了新途径，但其训练方法目前主要基于权函数正交基展开。

To find out, The Economist trawled through a sample of almost 5,000 politicians in "International Who's Who", a reference book, to examine their backgrounds.

为了找到问题的答案，《经济学家》在参考书《国际名人录》中查阅了近5000名政治家的样本，并试图去了解他们的背景。

Through SVM can perfectly solve the problem of small sample learning, it fails to make use of the unlabelled samples of data.

针对这种情况，本文首先研究了支持向量机的基本原理和算法，指出支持向量机是一种基于统计学习理论的通用学习算法，能够较好地解决小样本学习问题。

And it can deal with the history simples efficiently.The experiment have been made on university of California-Irvine database.

文献[2]提出一种使用多支持向量机进行增量学习的算法，该方法解决了在大样本情况下的SVM学习问题，但其初始训练还是在全部的初始训练集上进行，使其训练速度有所降低。

The standard Kernel Fisher Discriminant Analysis may suffer from the large computation complexity and the slow speed of feature extraction for the case of large number of training samples. To tackle these problems, a fast algorithm of KFDA is presented.

摘要针对训练样本多时核Fisher判别分析的计算代价大，特征提取速度慢问题，本文提出一种KFDA的快速算法。

In this model, PCA is applied to feature selection, and Multi-layered SOM is designed to subdivide the imprecise clustering in single-layered SOM layer by layer.

模型运用主成分分析算法对输入样本进行特征约简，运用分层思想对分类精度低的聚类进行逐层细分，解决了单层自组织映射分类不精确的问题。

And Pharaoh spoke to Joseph, saying, Your father and your brothers have come to you.

47：5 法老对约瑟说，你父亲和你弟兄们到你这里来了。

Additionally, the approximate flattening of surface strip using lines linking midpoints on perpendicular lines between geodesic curves and the unconditional extreme value method are discussed.

提出了用测地线方程、曲面上两点间短程线来计算膜结构曲面测地线的方法，同时，采用测地线间垂线的中点连线和用无约束极值法进行空间条状曲面近似展开的分析。