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two-way classification相关的网络例句

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Based on theanalysis of topology structure of parallel mechanisms and using differential topology anddifferential manifolds as mathematical tools, we propose a new classification method. Thismethod classifies singularities of parallel mechanisms into two basic types, i.e. topologysingularity and parameterization singularity. This kind of classification has clear physical andmathematical meaning and fully reveals the characteristic of configuration space of parallelmechanisms.

采用微分拓扑和微分流形等现代数学工具,在对并联机构位形空间的拓扑结构进行分析的基础上,提出了一种新的奇异位形的分类方法,即把奇异位形分为拓扑奇异位形、参数化奇异位形两种类型,这种分类方法充分体现了并联机构位形空间的特点,具有十分明确的物理和数学意义。

This a obtains method maximum separation ratio to separate two classes instances via a single hypersphere and also provides the facility to control the upper bounds of two classes error rates respectively with two parameters. As such, the performance of classification and prediction of imbalanced data sets can be improved, and the range of selection of parameters can be greatly narrowed.

该方法通过一个超球面将两类数据以最大分离比率分离,并且引入两个参数来分别控制两类错分率的上界,不仅提高了不平衡数据集的分类和预测的性能,而且大大缩小了参数的选择范围。

The following results are made from this research: Assessing data quality and band combination of different bands in line with geo-target features in desertification areas, and determining basic bands for desertification monitoring. And understanding and studying the spectral features and variation rules of geo-targets in the experimental area, raising that it is the basis of geo-targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo-targets, realizing that in a great extent spectral-integrated-form-based classification method can remove the phenomenon of "different spectrum with same objects" resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo-target with similar spectral forms and much different values of whole reflectionratio. It is suggested that "red edge" range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel-based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. The remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed.

研究结果如下:首先针对荒漠化地区的地物特征,对高光谱数据不同波段的数据质量、波段组合进行了评价,提出了适用于荒漠化监测的基本波段选择集;初步了解和掌握了研究地区的地物光谱特性及变异规律,进一步明确了掌握地物光谱特征和变异规律是用成像光谱仪数据提取地物信息的基础;发现了基于光谱整体形状的分类方法在很大程度上能够消除由于传感器、地物目标观测方向之间的角度变化引起的反射率曲线整体平移的"同物异谱"现象,对于谱形相似而整体反射率的值相差较大的两类地物,通过引入均值和方差图像参与分类得到解决;研究还表明在植被"红边"范围内的波段是进行荒漠化监测的主要特征波段,这些波段与植被生物量和盖度都有密切的关系,是开展精细植被分类研究和植被定量反演的重要基础;像元的导数光谱分析可以消除土壤背景的影响,是进行植被生物量和盖度定量反演的有力工具;建立了荒漠化监测主要评价因子的定量反演模型,并分析了模型的适用性。

Firstly, we define the two """"views""""of examples by choosing two Classifiers based on different algorithm theory. And then we proposed a example selection method based on the consistence, using two classifiers: Transductive HMM and fhTBL to combine a classification system to perform the Chinese Text chunking task with the small-scale labled Chinese treebank and large-scale unlabled Chinese corpus.

我们通过选取算法理论不同的分类器来定义Co-training方法中的两个"角度",在选择策略上,我们提出了基于"一致性"的实例添加策略,实验中我们选用基于统计的增益的隐马尔可夫模型和基于转换规则的分类器组合成一个分类体系,并与自我训练方法进行了比较,在小规模汉语树库语料和大规模未带标汉语语料上进行中文组块识别,实验结果要比单纯使用小规模的树库语料有所提高。

The following results are made from this research: Assessing data quality and band combination of different bands in line with geo-target features in desertification areas, and determining basic bands for desertification monitoring. And understanding and studying the spectral features and variation rules of geo-targets in the experimental area, raising that it is the basis of geo-targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo-targets, realizing that in a great extent spectral-integrated-form-based classification method can remove the phenomenon of "different spectrum with same objects" resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo-target with similar spectral forms and much different values of whole reflectionratio. It is suggested that "red edge" range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel-based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. The remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed.

研究结果如下:首先针对荒漠化地区的地物特征,对高光谱数据不同波段的数据质量、波段组合进行了评价,提出了适用于荒漠化监测的基本波段选择集;初步了解和掌握了研究地区的地物光谱特性及变异规律,进一步明确了掌握地物光谱特征和变异规律是用成像光谱仪数据提取地物信息的基础;发现了基于光谱整体形状的分类方法在很大程度上能够消除由于传感器、地物目标观测方向之间的角度变化引起的反射率曲线整体平移的&同物异谱&现象,对于谱形相似而整体反射率的值相差较大的两类地物,通过引入均值和方差图像参与分类得到解决;研究还表明在植被&红边&范围内的波段是进行荒漠化监测的主要特征波段,这些波段与植被生物量和盖度都有密切的关系,是开展精细植被分类研究和植被定量反演的重要基础;像元的导数光谱分析可以消除土壤背景的影响,是进行植被生物量和盖度定量反演的有力工具;建立了荒漠化监测主要评价因子的定量反演模型,并分析了模型的适用性。

All evidences from both phenetic classification and cladistic classification demonstrated that the matsutake group is a polyphyletic group and Tricholoma nauseosum, T. matsutake and T. matsutake var. formosa come from one line of descent; T. focale, T. robustum and T. fulvocastaneum are closely related; T. zelleri, T. aurantium, T. caligatum var. nardosmia formed a clade. The result also suggested Dollo parsimony criterion was more suitable for phylogenetic reconstruction of the matsutake group based on morphological characters than the other two criterions.

在数量分类学研究中,通过表征分类和支序分类的研究得出结论如下:松口蘑群是一个多系群,北欧口蘑、松口蘑(T.matsutake)和松口蘑台湾变种(T.matsutake var.formosana)比较接近,羽衣口蘑、粗壮口蘑和黄褐口蘑(T.fulvocastaneum)也比较接近,泽氏口蘑、金黄口蘑(T.aurantium)和欧洲口蘑松香味变种(T.caligatum var.nardosmia)来自一个谱系。

Band differencing is feasible in water and irrigable field, but it couldnt monitor the changes of whole land use and its precision is the lowest. For the mufti-temporal composite method, it is difficult to choose the exact regions for change detection. Based on the previous accurate classification result, the post classification comparison method gets the best result compared with the other two methods, but also with the hand-on mistakes.

图像差值法对河流水面和水浇地的监测效果比较好,但对所有地类监测结果不令人满意,精度较低;多时相波段复合分类法中,变化土地类型训练区的确定较困难;分类后比较法是在前面土地信息准确提取的基础上进行的分析,精度较高,监测结果图也一目了然,是土地利用动态监测的一种有效方法,但它是在自动识别分类基础上进行的比较,传递了分类产生的误差。

Furthermore, out of 497 fAFLP markers, 80 special bands were found to be able to distinguish the four groups from each other and may be applied for germplasm characterization and molecular assistant classification of Meretrix clam.4 Molecular classification of two species of Meretrix clam based on fAFLP and ITS sequences4.1 The results of fAFLP maker analysis of S, G and W showed that each group had their own specific loci among which there were 53 special loci in W group, much more than those of S group (14) and G group (21). Among the 53 loci, nine were all dominant loci. These unique loci could be taken as molecular markers to distinguish W from other groups. The genetic similarity indexes and distance matrix between S and G groups were 0.9585 and 0.0424 respectively, but the genetic similarity indexes and distance matrix between W group and S or G group was 0.7939 or 0.7941, and 0.2308 or 0.2305 respectively. The results revealed that significant difference existed between W and S or G groups in molecular genetic structure. The phylogenetic trees by the methods of UPGMA and NJ also indicated that S and G populations were very closely related, while W population was a relatively independent cluster, lying beyond the species which S and G belong to.4.2 The internal transcribed spacer region of the rDNA from S group, G group and W group were PCR amplified and sequenced. The results showed that the size of ITS ranged between 1266-1269bp in W group, while those in G and S groups were 1614bp and 1520bp respectively. The GC content ranged 62.32-62.62% in W group while it was 61.77% in G group. The genetic distances between three populations of W group were 0.001~0.003, but it was 0.110 or 0.147 respectively between W group and G group or S group. Phylogenetic trees by NJ method also showed that G group was very closely related to S group, while W group was a relatively independent cluster.

在457个总扩增位点中找出了53个W的特有位点,远多于S群体(14)和G(21)群体,而且在53个特有位点中有9个出现频率为100%的位点,这些位点可以作为区分其它2个群体的特征性标记;S– G群体特有的位点有112个,其中有4个位点出现频率为100%,可作为S– G群体区别于W群体的特征性标记。S群体和G群体间的遗传相似性系数为0.9585,遗传距离只有0.0424,在NJ和UPGMA法构建的亲缘关系的树状图上均首先聚在一起,说明二者的亲缘关系很近,应属于种内群体间的关系;而W与S和G的遗传相似性系数均较小(0.7939和0.7941),相对遗传距离很大而且十分相近(0.2308和0.2305),在亲缘关系树状图上单独分出一支,也表明W与S和G群体间的亲缘关系较远。4.2 ITS序列比较分析通过对白壳文蛤、山东文蛤和广西文蛤的ITS序列扩增电泳、PCR-RFLP分析和ITS序列分析发现,W的ITS序列长度在1266-1269 bp,而S和与G的ITS序列总长度分别为1520 bp和1614 bp;从ITS1和ITS2长度来看,W分别为739-741 bp和316-317 bp,S为895 bp和414 bp,G为987 bp和416 bp;而从ITS碱基组成来看,W的GC含量在62.32-62.62%之间,而G群体为61.77%。W的3个壳色不同群体间的遗传距离仅0.001、0.002和0.003,S与G群体间的遗传距离是0.010,说明W群体内变异很小,而S与G群体间已出现明显的遗传分化,但还均属于种内群体间的遗传变异;而W与G和S的遗传距离分别达到0.110、0.147,两个类群差异显著,已远超出种内群体间的遗传变异。

They are: the achievements of textual research and exegesis of Zhu Zi Xue in Qing Dynasty; the promoting effect of the introducing Western theories that took on the research of Chinese classical logic; taking the doctrine of Moism and scientific logic method as a methodological weapon for propagating reformist thought and Liang Qichao"s favor to Mo Zi and theory of Moism.The second part is about Liang Qichao"s achievements of logic and methodology: he analyzed induction and deduction, and thoroughly analyzed induction in particular, and his thought about those was mainly correct; he analyzed comparison as a component of induction and discussed the cognitive function of comparison, he also explained how to use comparison in the research of history; he not only explicated the thinking process of analytical method and synthetic method, but also integrated the two methods with studying history and reading history , and turned them into specific research methods of history ;he expound the rule of causal law , just as Leibnizs principle of sufficient reason in Western modern times and the law of sufficient reasonin universal logic; he discussed nominal classification, and analyzed wrong classification of the forefathers, then he pointed out the significance of clarifying the basic of division .

不足在于:①梁启超对于各种科学方法的论述不够系统、全面;②梁启超比较研究方法仍存在一些缺陷,他的比较研究主要是将墨家论式与西方逻辑的三段论(有的与印度因明的三支作法)形式作求同研究,缺乏系统性和全面性,而且对三种逻辑的共同点和差异点的分析也缺乏理论深度,加之梁启超不懂得数理逻辑,缺乏精确的数理逻辑工具,因而使这种对比分析缺乏严密性和精确性。

The method is shown about how the model is constructed and applied to classification. Two sorts of kernel function are applied to SVM, they are multinominal function and radial basis function. The model and algorithm are applied to some documents of China periodical document database and classification results illustrate its practicability.

文中给出了该模型的构造及应用的方法,用两种核函数作为内积回旋方案,以中国期刊网全文数据库部分文档数据为例验证了该方法的有效性。

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