無指導的 的英文怎麼說
中文拼音 [wúzhǐdǎode]
無指導的
英文
guideless-
The essay discusses the serious situations of water pollution from small tankers due to quality of rubber hoses during oil operations. it emphasizes on paying more attention to the supervision of hoses qulity, usage and management in accordance with the law and technologic specifications. which will be useful for deepening management of safety and antipollution
就水上油類作業過程中,由於小型油輪橡膠輸油軟管的質量等問題造成水域污染的嚴峻形勢,從法律、技術規范入手,強調重視對輸油軟管的質量、使用、管理三個方面進行監督檢查,無疑是對安全和防污染管理的深化,對現場監管具有一定的指導作用。46 du l, sun y f. a new indexing method based on word proximity for chinese text retrieval. journal of computer science and technology, 2000, 15 : 280 - 286
詞義消歧以語料庫為主要知識源,根據對已標注語料的利用分為無指導有指導和半指導的方法。3. introducing the concept of equivalent pseudowords and the method of its construction, and achieving unsupervised wsd method by them
3 .提出等價偽詞概念和等價偽詞的構造方法,並以此實現無指導的詞義消歧方法。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。The main emphasis of our research is statistical word sense disambiguation, which can be classified into two categories according different discipline methods : supervised and unsupervised
本文研究的重點在於統計詞義消歧技術,它根據使用的訓練方法的不同可以分為有指導和無指導的兩大類。The experiment introduces that the concept of equivalent pseudowords and unsupervised wsd technology based on equivalent pseudowords provide a new thought and method for exploring the new technology of wsd
實驗表明等價偽詞的概念以及建立在等價偽詞基礎上的無指導詞義消歧技術為探索詞義消歧的新技術提供了一個新的思路和方法。More precisely, this is supervised training, as opposed to unsupervised training
更確切地說,這是有指導的培訓,與之相反的是無指導的培訓。In the meantime, combining the traits of network applications, we put forward a largest matched word segmentation algorithm
其間兼顧網路上應用的特點,提出了基於無指導的最大匹配分詞演算法。The tutors went in, the nurses, mitenka, and several acquaintances, and the countess read the letter every time with fresh enjoyment and every time she discovered from it new virtues in her nikolushka. how strange, extraordinary, and joyful it was to her to think that her sonthe little son, whose tiny limbs had faintly stirred within her twenty years ago, for whose sake she had so often quarrelled with the count, who would spoil him, the little son, who had first learnt to say
她覺得多麼奇怪,多麼不平凡,多麼令人歡快,她的兒子二十年前在她腹中微微移動細小的四肢的兒子,為了他,她和胡作非為的伯爵多次發生口角,他就是那個先學會說「梨」 ,后學會喊「婆婆」的兒子,現在他身居異地,環境生疏,他居然是個英勇的戰士,獨自一人在既無援助又無指導的條件下做出了一番須眉大丈夫的事業。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。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。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。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。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。The office of the attorney general of switzerland is the public prosecution body of the swiss confederation and does not have directive or supervisory functions over the cantonal authorities
律政司司長辦公廳負責瑞士聯邦的刑事檢控工作,但並無指導或監督各州檢控機關的職責。As to those who like the post but can ' t achieve high performance due to their individual competency, managers should attach more importance to the training of their working skills, even should ascertain the shortage and deviation of their actual operation on first line, you know, the effectiveness of on - site training and instruction is far better than conclusion afterwards
面對喜歡該職位但卻因為能力問題無法取得高績效的員工,管理者應該側重於工作技能的培訓,甚至和該員工一起深入一線找出實際操作的不足和偏差,因為現場培訓和指導的效果要遠遠強於事后的總結。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。Document clustering techniques have been received more and more attentions as a fundamental and enabling tool for efficient organization, navigation, retrieval, and summarization of huge volumes of text documents. the aim of document clustering technique is to cluster different documents into different semantic classes based on their content in an unsupervised manner
文本聚類作為一種對大規模文本信息進行有效組織、導航、檢索和概括匯總的基礎、關鍵技術而日益受到關注,其主要目的是以無監督指導的方式根據文本的內在關系將內容近似的文本分成不同的類。As to those who like the post but can ' t achieve high performance due to their individual competency, management should give weight to the training of their working skills, even should ascertain the shortage and deviation of their actual operation on first line, you know, the effectiveness of on - job - training and guidance and far better than afterwards conclusion
面對喜歡該職位但卻因為能力問題無法取得高績效的員工,管理者應該側重於工作技能的培訓,甚至和該員工一起深入一線找出實際操作的不足和偏差,因為現場培訓和指導的效果要遠遠強於事后的總結。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 ) 。分享友人