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classification相关的网络例句

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与 classification 相关的网络例句 [注:此内容来源于网络,仅供参考]

Through the ablution of callosity of network of period of time, website of a batch of classification toppled in lose money in business, another batch of new classification websites were built again rise.

经过一段时间网络无情的洗礼,一批分类信息网在亏本中倒下了,又一批新的分类信息网重新建了起来。

Landscape pattern analysis based on landscape metrics is a basic content of the research on landscape ecology. More and more researches proved that not only scale effects and the precision of remote sensed data had significant influence on landscape metrics, but also the difference of land use classification would make the change of landscape metrics. However, we still have not found out how land use classification affects landscape metrics and associated influence mechanism.

基于景观格局指数的空间格局分析是当前景观生态学研究的重要基础内容,不仅数据源准确度、尺度效应显著影响景观格局指数,土地利用类型划分也对景观格局指数具有显著影响,但我们对这种影响的总体理解尚很缺乏。

The conventional classification methods are hard classification based on the spectral statistic features of the pixels.

这些土地利用类型的波谱特征为进行土地利用分类提供了波谱理论基础。

But under limited training sample size, increased dimension of remote sensing data means decreased samples/dimension ratio, which can lead to low classification accuracy if common statistic based pattern classification methods were used.

但在有限训练样本条件下,遥感数据维数的增高使样本/维数比率大大降低,采用常规的统计模式识别方法反而无法得到较好的分类结果。

On the basis of the optimizing program,the microcomputer output of arranging the order of parts,the statistic of the classification of part names and the statistic of characteristic information of parts,and the classification of part groups using BASIC-Ⅱ language are pre- sented.

本文提出了实施成组技术中采用分类编码对产品零件分组的方法,分析了零件组特征矩阵制定的原则,在优化程序的基础上,提供了采用BASIC-Ⅱ语言的关于零件排序、零件名称类别及特征信息统计、零件分组的计算机输出结果。

New model utilizes grid computing technology,plans as a whole of network computing resources,combines with statistic classification advantage of support vector machine in finite sample space,probes into application of grid computation technology in image classification.

为了充分利用网格技术分布式、高性能、协同共享的能力,设计了一种基于网格和支持向量机的分布式图像分类器模型,采用网格计算技术,统筹网络运算资源,结合支持向量机在有限样本统计分类中的优势,探索网格技术在图像分类中的应用。

In the first approach the metadata extraction is viewed as a classification problem. Three statistic classification models, including Support Vector Machines, Perceptron with Uneven Margins, and Maximum Entropy are studied. The approach suffers from the problems of ignoring the variance in lengths of documents and ignoring the dependency of text units within documents. To solve the problems, our second approach takes the metadata extraction as a sequence data labeling problem and makes full use of the sequential information.

论文首先研究了基于分类的元数据抽取方法,考察了支持向量机、非对称间隔感知机和最大熵模型在ADME中的应用;然后针对分类方法中存在的忽略文档之间的差异、不考虑文档上下文等问题,提出了基于序列数据标注模型的抽取方法,并结合最大熵马尔可夫模型、投票感知机模型和条件随机场模型进行了研究;最后本文根据前两种方法的设计思想和优缺点,研究提出一种新的结构预测模型—— CDASP(Coordinate Descent Algorithm for Structure Prediction),并将其应用于元数据的自动抽取中。

In view of the disadvantages existing in the proof of the theorem of the classification, this dissertation analyzes the necessity and feasibility to give a second proof, and elaborates on the GLS Project according to the latest research information.9. The finish of the classification of finite simple groups has profound influence on mathematics and other fields.

挖掘了分类定理最初证明中存在的弊端,提炼并概括出对分类定理进行二代证明的必要性与可行性,通过查阅最新研究资料,详细介绍了目前正在进行的GLS计划。9。

In this paper, we prove that if Ф is parallel and A+G+μB=0 for some functions λ,μ, then Ф=0, which gives the classification of the hypersurfaces in S(superscript n+1) with parallel Mbius form and A+G+μB=0 from the classification theorem in paper of Li H.

本文证明了如果x的Mbius形式Ф平行,并且A+λG+μB=0,其中λ,μ分别是定义在M上的光滑函数,那么Φ=0,由此及李海中、王长平(2003年)文献中的分类定理给出了S(上标 n+1)中具有平行的Mbius形式及满足A+λG+μB=0的超曲面的分类。

Chapter one has introduced the background and classification of minimax theorems; Chapter two summarizes several proof method of minimax theorems, which are illustrated with examples; Chapter three has explained the development general situation of minimax theorems for a function and for two functions with chapter four respectively, and according to the classification of the theorem, has illustrated some important conclusionses in quantitative minimax theorems, topological minimax theorems and quantitative-topological minimax theorems separately.

第一章介绍了极大极小定理的背景及其分类;第二章总结了极大极小定理的几种证明方法,并举出例子进行说明;第三章和第四章分别阐述了单函数的极大极小定理和两个函数的极大极小定理的发展概况,在第三章中,按照极大极小定理的分类,分别对数量极大极小定理,拓扑极大极小定理和数量拓扑极大极小定理的一些重要结论作了介绍。

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