cross classification
英 [krɒs ˌklæsɪfɪˈkeɪʃn]
美 [krɔːs ˌklæsɪfɪˈkeɪʃn]
交叉分组
双语例句
- The dendrograms of the 7 tested cultivars by the application of Cross Checker 2.8 and MEGA 3 softwares were consistent with the traditional classification result.
利用crosschecker2.8和MEGA3软件对供试的啤麦品种进行遗传聚类分析，结果与传统分类相近。 - Investigation on Cross Flow Centrifugal Classification Technology
错流离心分级技术的研究 - Using ROC evaluation in multi_fold cross validation, experiments shows that the classification accuracy can be significantly improved when the color histogram is combined with the color edge histograms.
采用多重交叉检验的ROC评估，实验表明结合颜色直方图和颜色边缘直方图能明显提高分类精度； - The radar cross section ( RCS) of targets contains abundant classification information, which is very important to radar automatic space target recognition.
目标的雷达散射截面（RCS）包含了丰富的目标类别信息，如何有效利用目标RCS特征对空间目标的雷达识别具有重要意义。 - Reverse Flow and Cross Flow in Classification
分级过程中的逆流和错流 - In this framework, 10-fold Cross Validation is employed to avoid "testing on the training data", guaranteeing all characteristic features used for level-1 generalization indicating the actual classification behavior by every local classifier.
该框架采用10-交叉验证方法来消除用训练数据进行测试的现象，保证得到的1-层泛化特征反映的是所有本地分类器对样本真实的分类行为。 - During culture of the hybrid embryos form different cross classification, the proportion and concentration of hormones were different.
对早培育胚进行胚培养发现，不同的杂交组合，杂种胚生长所需的激素浓度和配比不同。 - Second, at the stage of recognition, for the first type of characters, TM moments and affine moment invariants are used to extract features respectively and the features are combined into a vector. Then the normalized cross correlation is utilized as the classification technique.
在识别阶段，对第一类字符利用TM矩和仿射不变矩提取特征并且组合成特征向量，然后利用交叉相关来识别； - However, citrus phylogenetic relationships are complicated by their being able to cross easily between species and even between genera, high mutation rate and long history of cultivation. For these reasons, citrus classification system is still under debate.
但由于柑橘种属间易杂交、芽变频率高和栽培历史悠久等原因，导致柑橘种属间亲缘关系复杂，分类系统至今未有定论。 - Cross validation noise-tolerance classification algorithm is an important method which eliminates noise of data set. That can eliminates noise of training data set before training classifier, So classifier classification accuracy be able to increased significantly.
交叉验证容噪分类算法是一种典型的噪音消除算法，可以在建立分类模型之前有效去除数据集中的噪音数据，使分类模型的分类准确率明显提高。 - Experimental results on several gene expression data have demonstrated that 100% leave-out cross validation ( LOOCV) accuracy can be achieved using a single model based on optimal feature gene pair or combining multiple top-ranked classification models.
在多个表达谱数据上的试验结果表明：用单个最佳分类模型或联合多个分类模型能够获得100%的留一交叉验证精度。 - Cross validation results show that the using of support vector machine can classification data accurately when only rely on time parameters and ignore the distance parameter.
最后进行了交叉实验验证，结果表明，使用支持向量机对数据进行分类时只依靠时间参量，而忽略距离参量的分类结果比较准确。 - Revolves the cross organization resources to propose, cross organization resources the characteristic, the cluster rent connotation and the classification, as well as the cross organization resources launch the analysis research in turn to the cluster rent creation influence mechanism.
围绕跨组织资源的提出、跨组织资源的特征、集群租金的内涵和分类，以及跨组织资源对集群租金创造的影响机制依次展开分析研究。 - The feature-level data fusion was used to combine these two features. The k-fold cross validation with support vector machine ( SVM) and the K-means classification were both employed for classifying and recognizing the gait features.
首先对提取到的两种步态特征在特征层上进行融合，再分别使用支持向量机的K-折交叉验证法和K-均值聚类对其进行分类识别。