無指導的學習 的英文怎麼說

中文拼音 [wúzhǐdǎodexuéxí]
無指導的學習 英文
unguided learning
  • 無 : 無Ⅰ動詞（沒有） not have; there is not; be without Ⅱ名詞1 （沒有） nothing; nil 2 （姓氏） a surn...
  • 指 : 指構詞成分。
  • 導 : 動詞1. （引導） lead; guide 2. （傳導） transmit; conduct 3. （開導） instruct; teach; give guidance to
  • 的 : 4次方是 The fourth power of 2 is direction
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 指導 : guide; direct; guidance; conduct; direction
  1. Combining with knowledge representation and automatic reasoning principle of ai and generic paradigm, the system has these main functions : ? it is able to show different solutions of typical example ; ( 2 ) it can automatically generate problems similar to the example for students to solve by providing them with clues ; ( 3 ) these problems can be studied by demonstrating the complete solution process and answers with the help of automated reasoning, or by providing real - time prompts to students concurrent with the students " solution processes with the help of automated reasoning ; ? it provides exercises and is able to call a program produced by the group ( the translator ), which transfers apla programs to executable programs so as to verify its correctness ; ( 5 ) it let teacher to add examples in the database ; etc. hi the course of systematic research, we deeply investigated the relevant knowledge of the system and made some innovation : about teaching content, we select par method as the main content

    本系統選用薛錦雲教授的par方法為主要教學內容，應用人工智慧的知識表示和自動推理原理及泛型思想，使得系統具有以下核心功能：展示幾種典型例題的解；以泛型思想為指導，實現了無限題庫，可以自動生成與典型例題類似的問題給學生求解並給予提示；對于這些題目，計算機可以自動推理出由問題到程序的全過程供學生學習；也可通過自動推理根據用戶的實際做題情況實時給出提示，互動式地幫助學生學習演算法程序設計；學生可以從問題庫中獲得練習，並調用轉換器，將自己的apla程序轉化為可執行語言程序，運行以檢驗其正確性；對教師而言，可以對已有的實例庫、問題庫進行添加操作等。在系統的研製過程中，我們深入研究了系統的各方面相關知識，並進行了多方面的創新：在教學內容方面，首次選用par方法為主要內容。
  2. Around the central issue of how raise the chain building materials supermarket management, with the marketing management, the serve marketing theory etc. as guide, regard improving the marketing management of the building materials supermarket of the chain as the starting point, surrounded in the center of how structure with modern chain building materials supermarket characteristic management system of marketing, analyzed the insufficient that the building materials supermarket of the chain existed during marketing management at present. base on the consumption habit of the local consumer, regional actual conditions, and combine with my working experi ence in that firm, i have carried on the deep investigations, adopted the demonstration and reiteration method, have systematically studied the relation of the inner marketing, the serve marketing strategy, 4p ' s marketing tactics, the strategy of corporate image, the customer satisfied, enterprise profit ability existed direct relevant relation in the building materials supermarket of the chain and propose a competitiveness model against chain building materials supermarket., thus proposes some feasibility suggestions in improving the marketing management and the key competitiveness of the building materials supermarket

    筆者圍繞著如何提高連鎖建材超市的營銷管理工作這一中心問題，以營銷管理學，服務市場營銷學等理論作為指導，以提高連鎖建材超市的營銷管理工作為出發點，圍繞著如何構建具有現代連鎖建材超市特點的營銷管理體系為中心，針對目前連鎖建材超市在營銷管理中存在的問題和不足，立足於歐倍德連鎖建材超市無錫店當地消費者的消費習慣，地區環境等實際情況並結合筆者在該單位工作的一些經驗和體會，進行了深入的調查研究，採用實證、規范相結合的方法，系統地研究了連鎖建材超市的內部營銷，服務營銷戰略， 4p營銷組合，企業形象戰略，顧客滿意，企業盈利能力之間存在的直接的相關關系，並提出了一個針對連鎖建材超市特點的競爭力模型，從而為改進連鎖建材超市的營銷管理，不斷提高連鎖建材超市的核心競爭力提出一些可行性建議。
  3. This text is on the basis of defining the education justice concept thinks that education justice including the questions not only caused by system factors, such as educational stratification system, system of enrollment in a nearby school, the tuition system and the doctrine orientation that the city in the education system has priority, but also includes the inequitable phenomenon of education that the human factors caused, such as the teachers and students lead to. the author carried on the analysis one by one to these factors at the same time points out no matter which factor leads to inequity in education is only damage the average children ' s normal right of educating, hinder the improvement of the integral level of chinese education and influence the society ' s justice realization finally

    本文在界定教育公正概念的基礎上，認為教育公正既包括了因制度因素引起的問題，比如教育分流制度，就進入學制度，教育收費制度以及教育制度中的「城市優先主義」傾向，也包括人為因素導致的教育不公現象，比如教師和學生雙方因素。同時對這些因素進行了逐個分析，指出無論哪一種因素導致的教育不公正，只會損害就學兒童正常的學習權利，阻礙中國教育水平的整體提高，最終影響社會公正的實現。
  4. In view of the general prevalence of the obscure financial orientation, backward management mode and ambiguous property right and disorderly capital management of the conglomerates, this article, for the purpose of effectively ironing out the series of existing problems, puts forward the augment that corporate groups ’ financial management mode must be persistently based on capital operation as its core, thus demonstrating the principle of the organic combination of the centralized power and decentralized power, establishing a financial management mode characterized by the integration of centralized power and decentralized power, which will be conducive to bringing into full play the financial control function of the parent company and the subsidiaries, stimulating the initiative and creativity of the subsidiaries and effectively controlling the risks of the operators and the subsidiaries

    以建築施工、房地產開發為主營業務的大型集團型國有企業為例，他們在財務管理方面普遍存在著分權過度的問題，對子公司的財務行為難以統一協調，無法合理配置有效資源，致使企業集團的凝聚力、控制力難以實現。因此，構建有效的財務管理體制，強化企業集團的財務管理職能，灌輸財務管理的戰略思想已迫在眉梢。因此，本人希望充分利用本人在吉林大學的三年碩士班學習掌握的財務管理知識，結合導師指導和自身工作體會來了解分析當前企業集團存在制約企業集團良性發展的普遍問題入手，基於集團的組織模式、制度建設，預算管理等方面進行深刻剖析，結合現實案例系統並有針對性的提出了一套具體的集團企業財務管理戰略模式，以期能對企業集團的生存與發展具有較好的現實意義。
  5. In brief, the article has done some useful attempts in machine learning and unsupervised wsd methods, and gets some initial findings. with devotion of

    綜上所述，本文在機器學習和無指導的詞義消歧方法上都作了一些有益的嘗試，取得了一些初步成果。
  6. One method was supervised recognition, which was to take advantage of some known information to determine a given sequence whether contained some specific functional elements ; the other way was unsupervised learning, which was to utilize some measures of comparability and some search algorithm to discovery some potential signals in biosequences

    一種是有指導的識別方法，即利用已知的信息判讀一段未知的序列中是否含有某種功能元件;另一種是無指導的學習方法，即利用一些相似性指標，通過搜索演算法發現序列中可能蘊含的信號。
  7. Efficiency analysis is to prove ulac an efficient model itself. significance analysis is

    有效性的分析，是驗證ulac本身是一個無指導學習環境下的屬性選擇方法。
  8. According to various of applications of the datasets, feature selection algorithms can be categorized as either supervised learning or unsupervised learning feature selection approaches

    屬性選擇問題可以分為有指導學習環境下的選擇和無指導學習環境下的選擇。
  9. The point of paper is to make a deep survey on feature selection for unsupervised learning, which can provide some valuable practical experience of enhancing efficiency of data mining for unsupervised learning

    本文的重點就是對無指導學習下的屬性選擇進行深入研究，以此為無指導學習環境下的提高數據挖掘的效率提供一些實踐經驗。
  10. However, as data mining has penetrated to more application domains, feature selection for unsupervised learning becomes concerned increasingly. therefore, without any information of classification from samples, method of feature selection cannot result in satisfying effect

    由於無指導學習沒有關于樣本類別的重要信息，在面對大量屬性的數據集所進行屬性選擇的效果不如有指導學習環境下的結果。
  11. The problems put forward from micro scale are : the losing balance of the training between teachers < wp = 5 > and headmaster 、 of steering of whole and parts 、 of study and using conditions 、 of planning long and shortly 、 of directing and the means of supervising and the losing balance between administration and the stimulating of schools. the problems put forward from middle scale are : having no healthy regimes 、 having no entire regulation and strong procession. i also put forward some concrete problems from the ways of the building of training conditions 、 of training of organization 、 contents 、 means and assessments

    在宏觀上提出的主要問題是：教師與校長培訓的失衡、全局與局部把握的失衡、學習與使用條件的失衡、長期與短期規劃的失衡、指導與督促方法的失衡、行政與學校調動的失衡；在中觀上提出的主要問題是：無健全的體制、無完善的制度、無有力的隊伍；在微觀上又從培訓的條件建設、培訓的組織、內容、方法、評價等方面提出了一些十分具體的問題。
  12. We try the unsupervised wsd method based on equivalent pseudowords by the na ? ve bayes model and maximum entropy in paper. it gets 81 % correct rate on the test data of senseval - 3, which is obvious better than supervised method accordingly

    利用得到的兩種較優的機器學習方法:貝葉斯模型及最大熵模型，本文嘗試了基於等價偽詞的無指導詞義消歧方法，在senseval - 3的測試數據上獲得了81 %的正確率，明顯優于相應的有指導方法。
  13. Firstly, making a comprehensive survey of feature selection for unsupervised learning in the past research, these are theoretical foundations of my paper. secondly, we introduce a novel methodology ulac ( feature selection for unsupervised learning based on attribute correlation analysis and clustering algorithm )

    在已經深入了解和體會現有發展的基礎上，提出一種新型的屬性選擇模型? ?無指導學習環境下基於屬性相關性分析和聚類演算法的屬性選擇方法ulac （ featureselectionforunsupervisedlearningbasedonattribute - correlationanalysisandclusteringalgorithm ） 。
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