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A classifier is the basic method in the data mining,and a decision tree is one of the most important classifiers.

分类器是数据挖掘的一种基本方法，决策树是一种最重要的分类器。

A number of weak classifiers construct a strong classifier,which can achieve a better performance.

一定数目的弱分类器可构造一强分类器，这样就可以达到一个较好的性能。

The traditional classification methods only use one single classifier, which may lead to onesidedness, low accuracy, and that the samples nearby the Support Vector Machine hyperplanes are more easily misclassified. To solve these problems, the multifeature fusion method based on SVM and KNearest Neighbor classifiers was presented in this paper.

针对传统分类方法只采用一种分类器而存在的片面性，分类精度不高，以及支持向量机分类超平面附近点易错分的问题，提出了基于支持向量机和k近邻的多特征融合方法。

From 1987 to 2006,there is a profound,deep and detailed analysis and description in the academic circle on verbs,nouns,adjectives,onomatopes,pronouns,adverbs,numerals,classifier measure words,prepositions,auxiliary words,modal particles of the classic novel Jinpingmei,illustrating their features in use,and trying to explain reasons for the formation of these features.

1987至2006年，学术界对《金瓶梅词话》中的动词、名词、形容词、象声词、代词、副词、数词、量词、介词、助词、语气词，进行了广泛、深入、细致的分析与描写，说明了它们在使用上的某些特点，并试图解释这些特点形成的原因，可以说是硕果累累。

Very naturally, the author adopts misclassified examples to revise the classifier model online.

很自然地，作者就考虑采用训练集错分样本来在线修正分类器模型。

Feature selection and classifier design are two important processes in pattern recognitions and data mining.

特徵分析及分类器设计在图形识别及资料探勘中扮演重要的角色。

The nearest center classifier is usually combined with FLD and KFD. But when the score distribution is skewed, no matter the use of Euclidean or Mahalanobis distance, it will lead to weak classification performance.

最近中心点分类法通常会与费雪线性区别与核心费雪区别结合使用，但是当区别得点的分布产生重心偏移的现象时，无论是欧氏或马氏距离的使用都将导致不理想的分类效能。

The larger the weight of an attribute was, the more it would make the contribution to classification. on the contrary, it would reduce the effect of classification. the new classification algorithm and the cloud classifier were applied to classify the radiance profiles as cumulonimbus, cirrus clouds, or cirrostratus clouds.

采用云模型建立训练集的各属性模型，分类模型由属性模型集成得到，属性权重根据svm权重向量得到，属性权重越大，其对分类的贡献越大；反之，越小。

Turbine air classifier is one of the most important types among many accurate classification facilities.

而涡轮式气流分级机是精密分级设备中非常重要的类型之一。

The number of support, vectors is decreased by 28%. Then, the structure of the Riemannian geometry is introduced in the input space, and using the Riemannian geometric modifies the kernel function of the classifier and gets less improved support vectors at the second training.

在第一次训练后产生的支持向量的基础上，将黎曼几何结构引入到输入空间，利用黎曼几何结构将分类器中的核函数进行修改，在第二次训练中再次减少了支持向量数目。

For every one of my New Year resolutions, I have been a backslider for years.

说到我的新年决心，我每年都做

With empathy and focus on a feeling level, we can all relate to the common ground of mutuality of emotions.

有了同情心和感觉上一级的重点，我们都可以涉及到相互的情感共同点。