例句與造句

1. Three patterns of conditional independence and their mutual relationships
   條件獨(dú)立性的三種形式及其相互關(guān)系
2. The united nations envoy for kosovo sent his plan for conditional independence for the serb province to the un security council
   聯(lián)合國(guó)科索沃問題特使向安理會(huì)提交了一份有關(guān)科索沃問題解決方案的報(bào)告，該特使在報(bào)告中建議科索沃應(yīng)實(shí)施限制性的獨(dú)立。
3. Three patterns of the conditional independence are presented , and their mutual relationships among the three conditional independences are proved . the main results include that strong conditional independence can derive regress conditional independence and that regress conditional independence is equivalent to the random conditional independence
   主要結(jié)論是在一定條件下，強(qiáng)隨機(jī)條件獨(dú)立必有回歸條件獨(dú)立隨機(jī)條件獨(dú)立性與回歸條件獨(dú)立性是等價(jià)的。它們對(duì)概率論及其數(shù)理統(tǒng)計(jì)的應(yīng)用是有意義的。
4. With the guidance of this new approach , this dissertation has done the research on " autonomy , school autonomy , the relationship between school autonomy and society , the relationship between the school autonomy and the individuals within the school " . with the above research , the following statements have been found . autonomy is the existing and developing presupposition and foundation of any individuals and social institutions with life ; the school autonomy is the inward originated nature of school itself and the conditional independence , self - vitality and personality of school in the interactions with various objectives
   在這一新的思維方式的指導(dǎo)下，通過對(duì)“自主性” 、 “學(xué)校的自主性” 、 “學(xué)校的自主性與社會(huì)、學(xué)校的自主性與學(xué)校內(nèi)部個(gè)人關(guān)系”的研究，可以發(fā)現(xiàn)，自主性是任何有生命性的個(gè)人、社會(huì)機(jī)構(gòu)生存和發(fā)展的前提和基礎(chǔ)，學(xué)校的自主性是學(xué)校本身所具有的內(nèi)在的固有屬性，是學(xué)校在同客體相互作用中所表現(xiàn)出來的相對(duì)獨(dú)k飛博士學(xué)位論文mdoctmdissertation立性、自身的活力和個(gè)性。
5. So the exploration of how to improve the interest of association rules became a novel and popular task in the research of association rule mining . several experts employed new measures to improve the contentness and interest of association rules without adopting support - confidence framework in association rule mining . under such backg rounds , this paper makes a study of the algorithmic framework of association rule mining based on conditional independences ; explores how to perform post - processing and how to improve the interest of association rules with constraints of conditional independences after the processing of traditional association rule mining
   對(duì)關(guān)聯(lián)規(guī)則挖掘的研究又主要集中在頻繁集的生成優(yōu)化和事物集的掃描次數(shù)兩個(gè)方面，并且主要基于支持度- - -可信度框架，由于這種框架的自身缺陷，使挖掘的關(guān)聯(lián)規(guī)則中用戶感興趣的卻不多，因此如何使用戶對(duì)挖掘的關(guān)聯(lián)規(guī)則更感興趣又成為一項(xiàng)新研究任務(wù)，不少學(xué)者不采用支持度- - -可信度框架，嘗試采用新方法來進(jìn)行關(guān)聯(lián)規(guī)則挖掘，以提高用戶的滿意度和興趣度。
6. It's difficult to find conditional independence in a sentence. 用conditional independence造句挺難的
7. 2 ) by analyzing the information and conditional information description mechanism of system states , the problem of stochastic model reduction is investigated based on state aggregation . the information loss and conditional information loss between the full - and reduced - order models are measured by entropy , while the independence and conditional independence within me components of aggregated state are measured by kullback - leibler information distance . several model reduction methods for stable and unstable linear systems are derived by employing two criteria to get aggregation matrices : the minimal information loss and the maximal independence
   2 )分析了隨機(jī)系統(tǒng)狀態(tài)空間模型中的信息和條件信息描述機(jī)制，以shannon熵為手段描述線性系統(tǒng)模型降階過程中的信息和條件信息損失，以kullback - leibler信息作為衡量降階模型狀態(tài)向量各分量之間統(tǒng)計(jì)獨(dú)立性的測(cè)度，針對(duì)穩(wěn)定和不穩(wěn)定系統(tǒng)研究基于狀態(tài)集聚的模型降階問題：分別運(yùn)用最小信息損失準(zhǔn)則和最大獨(dú)立性原則，得出幾種狀態(tài)集聚的信息論方法，并討論降階模型的性質(zhì)、階次的確定、系統(tǒng)噪聲分布特性等問題。
8. Thirdly , this paper gives out a method of discovering markov blanket of multi - sets rather singleton , and proves the correctness of the method , afterwards this paper expresses it using bayes network too . finally , aimed at the application of educational evaluation , this paper performs post - processing at those rules mined by apriori algorithm , and filters those rules with the constraints of conditional independences , and reads out conditional independences from rules
   面向教育評(píng)估系統(tǒng)中的具體應(yīng)用，本文提出了對(duì)原有系統(tǒng)中采用的apriori算法挖掘的關(guān)聯(lián)規(guī)則進(jìn)行后處理的方法：采用條件獨(dú)立性和傳統(tǒng)支持度- - -可信度框架相結(jié)合的方法進(jìn)行關(guān)聯(lián)規(guī)則的過濾，并從中發(fā)現(xiàn)存在的條件獨(dú)立性限制。