ordered tree meaning in Chinese
有序树
有序数
Examples
- Lastly , we give labeled ordered tree objects . each internal node of the labeled ordered tree represents an xml element and is labeled with the element " s tag name
本文提出了标签有序树对象( lotos )数据模型，有序树的内部结点由xml数据的元素表示，而元素名要进行参数化处理。 - Further more , in order to satisfy the needs of association rule mining algorithm in e - business field , this paper studied the support - ordered tree based association rule mining algorithm foldarm and proposed the concept of sequential support - ordered tree
为了满足电子商务网站对关联规则挖掘算法的要求，本文研究了基于支持度排序树的foldarm算法，对之进行了改进，提出了序列支持度排序树的概念，并给出了建树算法，使得可以挖掘序列模式。 - At last , aimed at the stochastic system in which the uniform target at the same periods is observed by sensors possessing different characters at multiple scales , we present a method of the multiscale representation based on unregular tree . we develop the multiscale stochastic model based on scale sequence at odd - and even - numbered scale and on different order trees
3 、针对不同尺度上具有不同特性的传感器在相同周期内对同一目标观测的动态系统，给出了一类系统基于不规则树结构的多尺度表示方法，并建立了基于尺度序列奇偶相间阶树、不同阶树的多尺度动态模型。 - The multiscale sample paths based on distinctive order tree are presented by computer simulation . second , we present the method of 3x3 - order tree - based of redundant multiscale representation for 2 - d markov random fields , and we propose a class of non - redundant multiscale model for reduced - order approximately representing gaussian markov random fields making ties to multiscale analysis
2 、给出了2 - d马尔可夫随机场基于3 3阶树有冗余的多尺度表示方法，并结合多尺度分析的思想，建立了2 - d高斯马尔可夫随机场降阶、近似、无冗余的多尺度表示模型。 - First , using the scale - invariant property of multiscale model , i . e . markovian among scales , a method of qth - order tree - based for multiscale representation of a class of 1 - d stochastic process is presented . the multiscale stochastic model is established . the representation forms of parameter matrices , such as , the state transition matrix , the disturbance matrix , the initial state and the corresponding covariance matrix are deduced in detail
本文在已有工作的基础上，开展了以下几个方面的研究工作： 1 、根据多尺度模型尺度不变性，即利用尺度间的markov性，给出了一类1 - d随机过程基于一般q阶树的多尺度表示方法，建立了相应的多尺度动态模型，详细推导了多尺度模型中的状态转移阵、扰动阵、初始状态和相应的协方差阵，并通过计算机仿真给出了不同阶树的多尺度采样路径。