conditional independence中文是什么意思

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中文翻譯
造句

條件無關

conditional adj. 1.帶有條件的，有限制的；視…而定的。 2.【 ...
independence n. 1.獨立，自主，自立 (of; on)。 2.足夠 ...
conditional independence assumptions 條件獨立性假設
independence n. 1.獨立，自主，自立 (of; on)。 2.足夠維持閉居生活的收入。 3.獨立心，自恃心。 national independence 民族獨立。
on independence 談自立
be conditional on 在...條件下，取決于
conditional adj. 1.帶有條件的，有限制的；視…而定的。 2.【語法】條件的，假設的。 3.引起條件反射的。 n. 【語法】條件子句，條件詞。 be conditional on [upon] 在…條件下，以…為條件，取決于。 n. -ity 受限制性，有條件性，制約性；條件限制。 adv. -ly
conditional on 有...條件
on conditional that 在…條件下
additive independence 可加獨立性
affine independence 仿射獨立性
algebraic independence 代數獨立; 代數無關
audit independence 審計的獨立性
auditing independence 審計獨立性
block independence 分塊獨立
calibration independence 規范不變性
causal independence 無因果關系
charge independence 電荷獨立性; 電荷無關
claims of independence 獨立性聲明
collaboration and independence 討論合作和獨立
complete independence 完全獨立
criteria of independence 獨立性準則
data independence 數據不相關性; 數據獨立性
declaration of independence 西元一七七六年七月四日，獨立宣言
declarations of independence 比之說“; 就我看來

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例句與用法

Three patterns of conditional independence and their mutual relationships
條件獨立性的三種形式及其相互關系
The united nations envoy for kosovo sent his plan for conditional independence for the serb province to the un security council
聯合國科索沃問題特使向安理會提交了一份有關科索沃問題解決方案的報告，該特使在報告中建議科索沃應實施限制性的獨立。
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
主要結論是在一定條件下，強隨機條件獨立必有回歸條件獨立隨機條件獨立性與回歸條件獨立性是等價的。它們對概率論及其數理統計的應用是有意義的。
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下，通過對“自主性” 、 “學校的自主性” 、 “學校的自主性與社會、學校的自主性與學校內部個人關系”的研究，可以發現，自主性是任何有生命性的個人、社會機構生存和發展的前提和基礎，學校的自主性是學校本身所具有的內在的固有屬性，是學校在同客體相互作用中所表現出來的相對獨k飛博士學位論文mdoctmdissertation立性、自身的活力和個性。
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
對關聯規則挖掘的研究又主要集中在頻繁集的生成優化和事物集的掃描次數兩個方面，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，使挖掘的關聯規則中用戶感興趣的卻不多，因此如何使用戶對挖掘的關聯規則更感興趣又成為一項新研究任務，不少學者不采用支持度- - -可信度框架，嘗試采用新方法來進行關聯規則挖掘，以提高用戶的滿意度和興趣度。
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 )分析了隨機系統狀態空間模型中的信息和條件信息描述機制，以shannon熵為手段描述線性系統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向量各分量之間統計獨立性的測度，針對穩定和不穩定系統研究基于狀態集聚的模型降階問題：分別運用最小信息損失準則和最大獨立性原則，得出幾種狀態集聚的信息論方法，并討論降階模型的性質、階次的確定、系統噪聲分布特性等問題。
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
面向教育評估系統中的具體應用，本文提出了對原有系統中采用的apriori算法挖掘的關聯規則進行后處理的方法：采用條件獨立性和傳統支持度- - -可信度框架相結合的方法進行關聯規則的過濾，并從中發現存在的條件獨立性限制。

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