查询词典 classification track

The support vector machine is one new general learning method,which proposed in the statistical Learning Theory,mainly applied in the data classification and regression estimate,meanwhile the main basis in plant classification is plant's outward characteristic.

支持向量机是在统计学习理论基础上提出的一种新型的通用学习方法，主要应用于数据的分类和回归估计，而植物分类的主要依据是植物的外观特征。

To denoise, the Byes principle can be applied to train the mass sample, and promote the representability of the characteristic vector. The practice proved that the BP neural networks have capacity of error acceptance, and can classify the vehicle samples not trained. The Fast Vehicle Classification system can meet the demand of the high precision classification.

对于测量系统提取中的一定范围中的数据"噪声"，以Bayes法则进行对大量样本先验去除"噪声"，提高了特征向量的代表性，理论与实际证明这样得到的BP网络有强容错能力，识别没有看到过的汽车样本能够达到高精度识别要求。

This paper discusses the Retrospection on government archives classification and archives classification method.

本文除简述中国历代政府档案分类情形外，并就档案分类的原则作一探讨。

Experiments show that rhomb partitioning is more powerful in suppressing block artifacts than square partitioning, results in much higher reconstructed image quality, but takes longer encoding time; 2 For solving exhausting encoding problem of fractal image coding, we present a fast rhomb-partitioning fractal image coding based on neighbor-searching; we present a fast rhomb-partitioning fractal image coding based on block classification; we present a fast square-partitioning fractal image coding based on neighbor-searching, block classification and wavelet transform.

2针对分形图象压缩编码过程非常耗时的致命弱点，提出了基于邻域搜索的菱形块分割的快速分形图象压缩编码方法，提出了基于块分类的菱形块分割的快速分形图象压缩编码方法，提出了基于邻域搜索·块分类和小波变换的方块分割的快速分形图象压缩编码方法，实验结果表明，我们提出的快速分形图象压缩编码与传统的分形图象压缩编码相比，编码速度提高了近40倍。

In the text classification of the test after test to seek classification accuracy.

在文本分类中对测试集进行测试后求得分类的准确率。

A new multiclass SVM algorithm based on binary tree was introduced on E-mail filtering. It could convert multiclass problem to binary classification by constructing binary tree. The idea of clustering first and classification later was adopted, and the largest similarity between testing sample and sub-category center and the separation measure of sub-categories were calculated, in oder to construct the optimal class hyperplane of decision-making nodes.

提出一种基于二叉树的多分类SVM算法用于电子邮件的分类与过滤，通过构建二叉树将多分类转化为二值分类，算法采用先聚类再分类的思想，计算测试样本与子类中心的最大相似度和子类间的分离度，以构造决策节点的最优分类超平面。

A new multiclass SVM algorithm based on binary tree was introduced on E-mail filtering. It could convert multiclass problem to binary classification by constructing binary tree. The idea of clustering first and classification later was adopted, and the largest similarity between testing sample and sub-category center and the separation measure of subcategories were calculated, in oder to construct the optimal class hyperplane of decisionmaking nodes.

提出一种基于二叉树的多分类SVM算法用于电子邮件的分类与过滤，通过构建二叉树将多分类转化为二值分类，算法采用先聚类再分类的思想，计算测试样本与子类中心的最大相似度和子类间的分离度，以构造决策节点的最优分类超平面。

An inductive learning method for classification based on information theory is proposed, which is a maximum contribution classification method according to the theory of channel transmission in information theory, the definition contribution is developed based on probability distribution of classified space, probability transfer matrices of classified space and feature space and mutual information, then entities is classified by the maximum contribution method.

提出了一种基于信息论的归纳分类学习算法－最大贡献分类算法。该算法根据信息论中信道传输的理论，把类别空间和各特征空间的概率转移矩阵以及互信息结合起来，定义了贡献的概念，从而得出了对给定的观测值，用它的最大贡献作为对实体进行分类的规则。

On basis of analyzing discriminative characters of speech and music signals, a real-time speech/music classification arithmetic is presented, which classifys audio signal into speech and music in real-time with tonality distribution property and spectral tilt Additionally, the classification results are smoothed for rationality.

分析了语音和音乐的区别性特征，提出了一种利用音调分布特性和频谱倾料度对语音和音乐进行实时分类的算法，并对分类结果进行简单平滑，使分类更为合理，从而提高音质。

In combination of rough set theory and the distribution information of the land cover spectral feature space,a spectral feature neighborhood based tolerant rough set classification method is proposed to handle the uncertainty in the process of satellite remote sensing data classification.

结合粗糙集理论和遥感数据中地物光谱特征空间分布信息，提出了一种基于光谱特征邻域的容差粗糙集分类方法，用来处理卫星遥感数据分类中的不确定性问题。

Yet, Edith says, there was always money in the bank.

但是Edith说，她的银行户口里面总是有钱。

We have created a series of files that resolve this problem--one for each day of the 40 days of purpose.

我们制作一系列的档案去解决这问题---一个为标竿40天中的每一天。