多分类的英文

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英文翻译
造句

polytomies

多 many; much; more
分类 classify
多分 a larger share
是否支持同一文章放在多分类里 cross-post
多分的 multipartite
多分管 multican
多分裂 multiple fission
多分配 multi assign
多分线 multidroline; multipoint line
多分枝 malva sinensis; polytomy
多分子 polymolecular◇多分子层 polymolecular layer; 多分子反应 [化学] multimolecular reaction
分类 1.(使分别归类) classify; itemize; sort 根据起因将事故分类 classify accidents by cause; 根据性别[年龄; 民族; 地区] 分类 classify by sex [age; nationality; locality]; 邮局里的人员将信件按寄送地点分类。 men in the post office classify mail according to places it is to go. 它们是按品种分类的。 they are classified in sorts.2.(分门别类) classification; assortment; systematization; partition; sorting; taxonomy; breakdown 粗略的分类 a broad classification; 使分类系统化 systematize classification; 植物的分类 classification of plants
搏多分配器 baudot distributor
多分辨率 multiresolution
多分叉的 plurifurcate
多分度值秤 multi-interval instrument
多分段支持 multipartition support
多分格相关 polychoric correlation
多分隔的 pluriseptate
多分管的 multcan; multican
多分力天平 multi-component balance; multicomponent blance
多分量的 multicomponent
多分区支持 multiple partition support
多分散的 polydisperse
多分散度 polydispersity

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例句与用法

Given the number and variety of methods used forhandwriting recognition , it has been shown that there is no singlemethod that can be called the best
使用多分类器和上下文限制的阿拉伯文字识别手写文本识别一直是一个非常活跃的研究领域。
The results of experiment show that the classifier combination offset the disadvantage of each component classifer and retain its advantage at the same time
实验结果表明多分类器组合可以集合分类器的优点,提高整个识别系统的识别精度和可靠性。
And we summarized the methods about multiple classifiers combination and the classifiers such as support vector machine based on the researches of lots of scholars . 2
并在研究支持向量机等分类器和多分类器组合的基础上，对其类型、算法等进行了分析。
And svm classifier is more satisfactory than others . wth post - classnying by means of knn and feature matching , the multi - dass svm has top sahsfactory performance
而将k近邻方法和特征匹配方法与支持向量机相结合形成的支持向量机多分类器更加适用于中文文本分类的需要。
3 . we investigate the theoretical framework of multiple classifiers fusion , and apply the decision template algorithms to classify the protein secondary structural classes
3 、分析了多分类器融合算法的理论框架，并采用决策模板算法对蛋白质结构类的预测问题进行了研究。
13 xu l , krzyzak a , suen c y . methods of combining multipleclassifiers and their applications to handwriting recognition . ieee transactions on systems . man , and cybernetics
在这方面，目前通常使用的方法有隐马尔可夫模型，神经网络方法，我们也曾尝试过使用结构模式识别方法和多分类器融合等。
The objective of multi - classifier combination is to make use of each classifier ' s good qualities in recognition performance and gains higher recognition rate than each classifier
多分类器组合的目的是希望能够充分发挥每个分类器在各自分类性能上的长处，以获得比任何单独分类器都要高的识别率。
Thirdly , the multiclass svm classifier based on one - against - rest mode is developed . because there are some text that are not distinguished , knn method and feature matching algoritllln can post - classify the non - distinguished text
针对支持向量机多类器中存在的文本漏识问题，采取knn方法和特征匹配方法进行后处理，对失效文本实施二次分类，改善了多分类器的性能。
On the basis of experimental analysis , two main parameters that have great effects on the recognition correctness of the system are ascertained : the first candidate ' s distance and the distance difference between the first and the second candidate
在实验分析的基础上，确定了影响系统识别性能的两个主要参数：首选距离及其与二选的距离差，并将其作为多分类器集成的判决依据。