implicit knowledge 中文意思是什麼

implicit knowledge 解釋
既重視隱性知識
  • implicit : adj. 1. 含蓄的，不講明的。2. 內含的，隱含的 （opp. explicit）。3. 絕對的，盲目的。adv. -ly
  • knowledge : n. 1. 知識；學識，學問。2. 了解，理解；消息。3. 認識。4. 〈古語〉學科。5. 〈古語〉性關系。
  1. Edm has some remarkable advantages over traditional models, includes using implicit causal models, self - learning capacity, weak dependence on domain knowledge, wide applicability, robustness, self - adaptability, and population - based searching, etc. tracing back its intrinsical ideas, edm is just making use of the nature ' s decision making strategy, natural selection, to solve the decision making problems faced by human or the intelligent agents

    進化決策主要利用了進化演算法與形式化計算模型相結合所具備的自動建模能力，它具有隱式因果模型、自學習、弱知識依賴、應用廣泛、穩健性、自適應和群體搜索等優勢。追根溯源，進化決策的基本思想正是利用大自然的決策機制（自然選擇）來解決客觀世界所提出的決策問題，而自然進化又是已知的能力最強的問題求解范型。
  2. 3. the process of education is just a process of the generation of the students " personal knowledge, which includes two closely combined aspects : the implicitization of explicit knowledge and the explicitization of implicit knowledge, hi the former aspect, students use other people ' s achievement and change it into personal capability and quality ; in the latter aspect, students accumulate experience in everyday practice and change into explicit knowledge with the help of language system

    教育過程其實質也即學生個人知識生成的過程，包括兩個密切關聯的方面：顯性知識的緘默化和緘默知識的顯性化。前者指學生通過學習人類的認識成果，並在實踐活動中加以運用而轉化為個人的技能、技巧，內化為自身的素質；後者指學生在自己日常實踐活動中積累經驗，產生緘默知識，藉助于語言符號系統而使其顯性化。
  3. Revolution of knowledge and learning under the sight of implicit knowledge theory

    隱性知識視野中知識與學習的革命
  4. Web data mining has been combined with electronic commerce on this occasion. it is a new branch of data mining and focuses on the research in the internet on how to find out all implicit knowledge modes among all kinds of data including web logs, user register information, web page etc, and on how to gain some predictive information

    Web數據挖掘就在這樣的背景下與電子商務結合在一起，它是在internet出現后產生的數據挖掘一個新的分支，主要研究在internet網路上，對各種數據源，如web日誌、用戶登記信息、頁面內容等，利用數據挖掘技術尋找網路上數據間各種隱含的知識模式和獲取一些預測性信息。
  5. It possesses many characteristics such as personalization, practicality and dynamic generation, etc. and it contains two parts : explicit knowledge and implicit knowledge

    個人知識具有主觀性、創造性、體驗性、動態生成性等特點，它包含顯性知識與緘默知識兩個組成部分。
  6. It perhaps is another angle to come studying the business enterprise growth. lt divided into the real implicit knowledge, the false implicit knowledge and the tacit knowledge of business enterprise

    本文把企業知識分為企業的真隱性知識，企業的偽隱性知識和企業的顯性知識。
  7. Information technology can support the mutual transformation between different categories of knowledge, including from implicit knowledge to implicit knowledge, implicit knowledge to explicit knowledge, explicit knowledge to explicit knowledge and explicit knowledge to implicit knowledge

    信息技術能支持不同類型知識的相互轉化，包括隱性知識到隱性知識、隱性知識到顯性知識、顯性知識到顯性知識、顯性知識到隱性知識四種形式。
  8. Data mining means the process of nontrivial extraction of implicit, previous unknown and potentially useful information and knowledge from the large amount, incomplete, noisy, fuzzy and random data

    數據挖掘，指的是從大量的、不完全的、有噪聲的、模糊的、隨機的數據中，提取隱含在其中的、人們事先不知道的、但又是潛在有用的信息和知識的過程。
  9. A review of effects of explicit knowledge on implicit motor learning

    外顯知識對運動技能內隱學習的影響
  10. Data mining is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data or known as knowledge - discovery in databases ( kdd ). to do this, data mining uses computational techniques from statistics, machine learning and pattern recognition such as discriminate analysis, regression method, mathematical programming, decision tree, k - nearest neighbor, artificial neural network etc. although many positive attempts are done, the development and application of personal credit assessment model in chinese bank industry is still in its infancy

    數據挖掘是20世紀90年代後期人工智慧和數據庫領域興起的一種數據處理和知識發現（ kdd ）理論，是從大量的、不完全的、有噪聲的、模糊的和隨機的實際應用數據中，提取隱含在其中的信息和知識的過程。對數據進行分類和預測是數據挖掘的主要功能。數據挖掘用於信用評估的優勢主要在於: （ 1 ）能處理和修正實際數據問題，演算法模型具有自檢
  11. ( 2 ) the students learn too little about implicit cultural background knowledge some words connote in the textbooks. ( 3 ) the students " linguistic competence is poor

    （ 3 ）鼓勵學生進行合作學習，增加文化背景知識交流的機會。 （ 4 ）強化媒體教學，拓寬文化背景知識的輸入渠道。
  12. The provider has implicit knowledge of the type and is responsible for deciding how to serialize the

    提供程序具有類型的隱式信息，並負責決定如何將
  13. The settings provider has implicit knowledge of the property or its type and picks an appropriate serialization mechanism

    設置提供程序具有屬性或其類型的隱式知識，將選擇適當的序列化機制。
  14. However, few studies were found about the impact of teacher education programs related to second / foreign language teachers " implicit knowledge and reflection

    然而，從教師隱性知識與反思的角度去研究外語教師培訓效果的研究卻寥寥無幾。
  15. The application of knowledge management idea and method aims to further tap the implicit knowledge in ssa and quicken. the materialization process of ssa

    運用知識管理的理念和方法，目的在於進一步挖掘社會科學成果中的隱性知識，加速其物化的過程。
  16. Therefore, the goal of teacher education is to renew teachers " implicit knowledge and to develop their reflectivity by engaging them in reflection

    因此，他們表現出來的反思特點越明顯，反思能力越強，達到培訓目標的程度就越高，培訓的效果也就越明顯。
  17. Scholars in the field of second / foreign language teacher education have also increasingly recognized the importance of teachers " implicit knowledge and reflection for the past decade

    進入九十年代以來，外語教育界的學者們也越來越認識到教師的隱性知識和反思在教師教育中的重要性。
  18. Knowledge management - oriented ssaes puts more emphasis on the production, diffusion and application of knowledge, its roles in science research management, and the functions of implicit knowledge

    面向知識管理的社會科學成果評價體系更強調知識的生產、傳播和應用及在科研管理中的作用，強調隱性知識的作用。
  19. Data mining is a collection of engineering methods proposed for solving large practical problems of machine learning, pattern recognition, database technology etc. the purpose of data mining is to discover the implicit knowledge or rule, and to help human expert to make decision. frequent pattern mining ( fpm ) and bayesian network learning ( bnl ) are two useful technologies of data mining

    數據挖掘技術是解決機器學習、模式識別、數據庫技術等各種領域中的大型實際應用問題而提出的一些工程性方法的集合，主要是為了從大型數據庫中高效地發現隱含在其中的知識或規律，並為人類專家的決策提供支持。
  20. In the last, the article analyzes the actuality of chinese km exampling with chinese leading pc provider - shida computer co., td ; anatomying the exiting problem of china ' s implementing kmkm amount information resource management ; only value explicit knowledge management, neglect implicit knowledge management ; only value " hard ware " construction, neglect " soft ware " construction, etc. besides, the article lodges the countermeasure of china ' s implementing km that chinese corporation must prepare many things, such as conception, organization construction, corporation culture, encourage mechanism, etc

    最後，文章以國內領先的pc產商? ?實達電腦公司的知識管理為案例，分析了中國企業實施知識管理的現狀，剖析了中國企業實施知識管理過程中存在的問題：將知識管理等同於信息資源管理；只注重顯性知識的管理，忽視隱性知識的管理；只注重「硬體」建設，輕視「軟體」建設；我不需要知識管理， 「與我無關」綜合癥；好大喜功，打腫臉充胖子。
分享友人
分享到 Line

分享到臉書