分类的

At first,the negative data is divided into several parts accumulatively according to the geometric distribution of the training data.

该方法首先根据样本的几何分布，用迭代的方式把负样本分成若干部分与正样本线性可分的样本；然后用L-SVM对这些正负样本进行分类，得到若干个线性分类器；最后，将这些线性分类器顺次组合，构成级联分类器。

In this article the author has made some improvements on the correspondence factor analysis method and proposed an objective classification criterion for the bisector ...

本文对对应分析法在分类中作了改进，提出向量夹角分角线的客观分类判据，并把这一方法应用到北京冬季气温分类上，结果表明它比其它分类法更直观、提取信息量更多，能较好地反映天气过程本质。

The latter seems to be more reasonable in designing in terms of evenness values.

在两种分类系统中也存在一些细小的差别，垫刃亚目分类体系较中国土壤系统分类具有更丰富的分支体系，而从均匀度指数来看，中国土壤系统分类系统的设计似乎是更加合理。

In this thesis, a hierarchical classification and interpretation model is presented, which consists of four parts: a target model, original regions detection, hierarchical classification and class interpretation.

在分析了遥感数据特征、目标特性及图像分类一般方法的基础上，提出了一个分层分类与解释模型，该模型由四大部分组成：目标模型、初始区域检测、分层分类和类别解释。

This category also includes resources on medical specialties such as pediatric neurology, neurosurgery, neuroradiology, pain management, and neuropsychiatry that affect neurological diagnosis and treatment.

此分类包括影响神经学诊断和治疗的各种医学专业，例如小儿神经病学、神经外科学，神经放射学、疼痛治疗和神经精神病学。"临床神经病学"分类，共有78本期刊按国家分类，如下

This thesis proposes a new classifier which combines both one-class and binary classification strategies.

本论文提出结合单一类别分类(One-class classification)方法与二元类别分类方法所建构而成的分类器。

For classification, a Support Vector Machine sorter was trained and the method of k-means clustering algorithm was developed.

在分类上，训练了SVM分类器和基于k-均值聚类的分类方法。

Widely accepted as they are, the classification of pyroclasts and the petrographic classification of pyroclastic rocks stipulated by the IUGS Subcommission on the Systematics of Igneous Rocks fail to consider the classification with Chinese characteristics, which was put forward in 1950s to 1960s and improved in 1980s to 1990s and has since been widely used in China.

虽然目前国际地科联火成岩分类命名委员会确定的火山碎屑物和火碎屑岩岩性分类已得广泛推广，但此分类尚有不足之处。

This dissertation brings forward and realizes the multilevel classifiable method which is based on characters coding. Above all, this method realizes the first-grade classification by extracting enough effective characters from characters and coding them, to the others which couldn't be recognized by the first-grade classification, the method will adopt the second-grade classification using template matching to recognize these characters.

本文使用了基于特征编码的多级分类识别方法，通过给字符抽取足够多的有效的特征并给特征编码实现第一级分类，对于第一级分类后仍不能区分的字符，再进入第二级分类用模板匹配的方法最终达到区分的目的，这种方法的重点在第一级分类阶段。

This dissertation brings forward and realizes the multilevel classifiable method which is based on characters coding. Above all, this method realizes the first-grade classification by extracting enough effective characters from characters and coding them, to the others which coundn t be recognized by the first-grade classification, the method will adopt the second-grade classification using template matching to recognize these characters.

本文提出并实现了基于特征编码的多级分类识别方法，通过给字符抽取足够多的有效的特征并给特征编码实现第一级分类，对于第一级分类后仍不能区分的字符，再进入第二级分类用模板匹配的方法最终达到区分的目的，这种方法的重点在第一级分类阶段。

Lugalbanda was a god and shepherd king of Uruk where he was worshipped for over a thousand years.

Lugalbanda 是神和被崇拜了一千年多 Uruk古埃及喜克索王朝国王。

I am coming just now,' and went on perfuming himself with Hunut, then he came and sat.

我来只是现在，'歼灭战perfuming自己与胡努特，那麼，他来到和SAT 。