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conditional independence中文什么意思

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  1. 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
  2. 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。
  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。
  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。
  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。

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