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ordered tree in Chinese

Pronunciation:
How to pronounce "ordered tree""ordered tree" in a sentence

Translationmobile phoneMobile

  • 有序樹
  • 有序數(shù)

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
    本文提出了標(biāo)簽有序樹對(duì)象( lotos )數(shù)據(jù)模型,有序樹的內(nèi)部結(jié)點(diǎn)由xml數(shù)據(jù)的元素表示,而元素名要進(jìn)行參數(shù)化處理。
  • 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
    為了滿足電子商務(wù)網(wǎng)站對(duì)關(guān)聯(lián)規(guī)則挖掘算法的要求,本文研究了基于支持度排序樹的foldarm算法,對(duì)之進(jìn)行了改進(jìn),提出了序列支持度排序樹的概念,并給出了建樹算法,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 、針對(duì)不同尺度上具有不同特性的傳感器在相同周期內(nèi)對(duì)同一目標(biāo)觀測(cè)的動(dòng)態(tài)系統(tǒng),給出了一類系統(tǒng)基于不規(guī)則樹結(jié)構(gòu)的多尺度表示方法,并建立了基于尺度序列奇偶相間階樹、不同階樹的多尺度動(dòng)態(tài)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 、給出了2 - d馬爾可夫隨機(jī)場(chǎng)基于3 3階樹有冗余的多尺度表示方法,并結(jié)合多尺度分析的思想,建立了2 - d高斯馬爾可夫隨機(jī)場(chǎng)降階、近似、無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礎(chǔ)上,開展了以下幾個(gè)方面的研究工作: 1 、根據(jù)多尺度模型尺度不變性,即利用尺度間的markov性,給出了一類1 - d隨機(jī)過程基于一般q階樹的多尺度表示方法,建立了相應(yīng)的多尺度動(dòng)態(tài)模型,詳細(xì)推導(dǎo)了多尺度模型中的狀態(tài)轉(zhuǎn)移陣、擾動(dòng)陣、初始狀態(tài)和相應(yīng)的協(xié)方差陣,并通過計(jì)算機(jī)仿真給出了不同階樹的多尺度采樣路徑。
  • Different from the previous work , kf - diff + is tailored to both ordered trees and unordered trees . while dealing with the key path , the notion of the key constraint for semi - structure data and the notion of the multi - instance based keys are identified , which will greatly simplify the complexity of the algorithm
    在特征路徑相關(guān)的計(jì)算中,本文引入面向半結(jié)構(gòu)數(shù)據(jù)的key約束思想,并且針對(duì)先前判定算法過于復(fù)雜的問題,提出了基于多實(shí)例結(jié)點(diǎn)集合的key約束的概念以及相關(guān)的處理方法,在一定程度上簡(jiǎn)化了計(jì)算。

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