分类数据

In the empirical section of my thesis, a parallel data set of 50 countries for the period 1986-2001 is used to estimate a series of Logit models, with a binary exchange-rate regimes index as the dependent variable.

进而本文利用50个中等收入国家从1986到2001年的面板数据，以二元离散的汇率制度分类指标为因变量，对一系列的Logit模型进行估计，所得到的结果支持本文的理论假设。

Decision tree is an important method in induction learning as well as in data mining,which can be used to form classification and predictive model.

决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。

Decision tree is an important method in induction as well as in data mining, which can be used to from classification and predictive model.

决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。

It would be very costly and infeasible to collect and label enough new training data.

这一缺陷会导致分类器功能大大下降，而重新获取并标注新的数据在许多应用中也不现实。

We will show that this approach is competitive or superior to the state-of-the-art approaches in anomaly/interestingness detection, classification, and clustering with empirical tests on time series/DNA/text/video datasets

我们将证明，这种做法是竞争或优于国家的最先进的办法异常/趣味性检测、分类、聚类与实证试验和时序/脱氧核糖核酸/文/视频数据

A method of the interpolation between slices based on the pixel classification is presented.

2提出了一种基于像素分类的医学体数据场层间插值方法。

This paper makes a taxonomy of networked multimedia application at the beginning,and then introduces some more important basic concepts involved in the multimedia communication, including static media and continuous media,isochronous communication and asynchronous communication,and so on.

本文首先对网络环境下的多媒体应用程序进行了分类，介绍了多媒体通信所涉及的一些比较重要的基本概念，包括静态媒体和连续媒体概念、等时通信和异步通信概念等，讨论了连续媒体数据的基本特征。

This algorithm uses the gird and density threshold method to remove isolated points of data set,selects the initial seed points in propagating tree randomly,judges vegetal direction and executes sort according to the density-based distance,calculates cluster aim function by the propagating tree value.

算法利用网格和密度阈值去除数据集中的孤立点，从网格集中随机地选取种子点，以基于密度距离作为判断生长方向及分类的依据，以网格生长树的大小作为聚类目标函数。

C for the fractal dimension, we present a classification method that is based on the fractal dimension with the help of multiresolution fractal dimension and lacunarity data.

对于分形维方法，我们提出应以一级分辨率分维为基本依据，辅之以多分辨率分维值和空隙数据进行纹理分类的方法。

The results of experiment show that,the novel algorithm losses the recognition rates of 2.7 percent,but the length of feature vector is one fifth of traditional ones,and simplifies the complexity of classifier.

实验数据的特征选择实验表明，提出的算法仅以损失2.7%识别率的代价，得到的特征维数却是传统遗传算法的1/5，极大地简化了分类器设计的复杂度。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。