本間類 的英文怎麼說

中文拼音 [běnjiānlèi]
本間類 英文
rui honma
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  1. The process of feature extraction is to transform the eradiate noise signal to different feature space and extract the feature vectors that reflect the category of the input sample. the extracted features are the input modes to the classifier

    特徵提取的過程是把輸入的船舶輻射噪聲信號變換到不同的特徵空間，提取出反映樣本的類別特性的特徵向量，並把其作為分類器的輸入模式。
  2. Thi s paper proposes a new automatic natura1 1anguage text categorization modu1e based on concept. thi s modu1e takes howwenet as the main source of knowledge, the concepts of words as the bas ; is of text categorization. the concepts of words are reduced to sememes and the tc is performed in the classfiab1e sememe vector space ( csvs )

    本文提出了一個基於概念的自然語言文本自動分類模型，該模型以《知網》為主要的概念知識源，以詞所表示的概念為分類基礎，把概念繼續分解至義原，並在可分義原組成的向量空間進行文本分類。
  3. A document searching system with vector space model

    基於向量空間模型的貝葉斯文本分類方法
  4. Compared to the degree of approaching method, the fuzzy semantic relationship between fuzzy sets depends on not only the two fuzzy sets elements " subordinative degree, but also the elements " semantic relationship, while the degree of approaching only depends on the subordinative degree of the same element in different fuzzy sets, so the fuzzy semantic relationship method gets better results, and settle the problem of one text belonging to more than one class well. 3

    兩個模糊集間的語義關聯度，不但依賴于兩個模糊集論域的元素間的隸屬度，而且與相應論域元素間的語義近似程度有關，而貼近度的方法只考慮了相同元素在不同模糊集中隸屬度值的關系，因此模糊語義關聯度的方法獲得了更好的分類效果，並且更好地解決了文本兼類的問題。
  5. At the same time, because general hierarchical is not good on question classification, this paper proposes a new method for chinese question hierarchical classification. this method combines the key class features with the question syntactic features to classify questions. since this method extracts the syntax features and adds syntax information into question classification, at last, the precision of the coarse classes reaches 88. 25 % and fine classes reaches 73. 15 %, respectively improves nearly ten percent than the traditional hierarchy classification, proving this method is effective

    本文針對文本分類和問題分類的差別，利用依存分析提取主幹和疑問詞及其附屬成分，並結合主幹關聯詞對，採用支持向量機分類器，此方法大大減少了問題分類的噪音，突出了問題分類的主要特徵，並考慮了詞與詞之間的句法關系，取得了良好效果;同時，針對普通層次分類在問題分類上效果不理想的情況，本文提出了類別主特徵結合句法特徵的中文問題層次分類新思想，利用句法分析提取分類特徵，在問題分類中融入了句法信息，總的準確率達到大類88 . 25 %和小類73 . 15 % ，比傳統的層次分類分別提高了10個百分點，證明了此方法的有效性。
  6. Some of these fragmentations have more rich grass quantity at the forest fringe and less rich grass numbers at the forest interior

    片斷森林林間草本種類較少，但林緣草本種類較豐富，特別是一些廣布種。
  7. In this field observation we also find an important fact that, even during storm surge period, high tidal flat can still be in sedimentation in some place, no erosion occurred. to tell the typhoon storm surges from cold wave storm surges, 12 monthly sedimentary samples are collected from the modern tidal flat surface at dafeng, jiangsu. palynological analysis of these samples indicates that the seasonal palynological features of the tidal flat sediment are very obvious and some palynological indexes, such as taxon percentage of arboreal, herbaceous pollen and spore, are good indicators to tell the seasonality of the tidal flat deposits

    為區分風暴潮沉積是由臺風引致還是由寒流或冷鋒引致，對長期處于淤積狀態的江蘇中部大豐縣斗龍港附近潮灘，採集了一年中每月小潮期間灘面表層泥樣，並在啟東茅家港灘面分別採集了6月、 9月與12月的表層泥樣，在實驗室中，對這些樣品進行孢粉等分析，認為在以粉砂、泥為主的潮灘沉積中，孢粉種類百分比，尤其是木本種類占孢粉總種類的百分比是判別季節性潮灘的重要指標，通過啟東茅家港工程建設區淤積狀況的觀測記錄對這一判別指標進行了驗證。
  8. 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 is to cluster the documents into different semantic classes in an unsupervised manner

    文本聚類作為一種對大規模文本信息進行有效地組織、導航、檢索和概括匯總的關鍵的、基本的技術而日益受到關注，其主要目的是在語義空間里以無監督的方式將文本集中的文本劃分成不同的類。
  9. The document space is generally of high dimensionality and clustering in such a high dimensional space is often infeasible due to the curse of dimensionality. so the primary step in document clustering is to project the document into a lower - rank semantic space in which the documents related to the same semantics are close to each other

    基於文本空間的文本聚類因為其具有高維的特徵而不容易直接實現，所以文本聚類的首要步驟就是將文本空間的數據投影到較低維的語義空間里，使在文本空間里相鄰的數據向量在語義空間里根據某些提取的特徵參數而相似。
  10. The paper do n ' t attempt to definite new generalized metric space classes and new covers and mappings. this is because in the development of revent several decades in topology, the space classes were definited by all sorts of formal generalizations have reached a flooded extent, continual introduction of new spaces and over tiny division have made topology develop to an empty theorical margin

    本文不試圖去定義新的廣義度量空間類以及新的覆蓋與映射，這是因為近幾十年拓撲學的發展，各種形式的「推廣」所定義的空間類已達到泛濫的程度，新空間的不斷引入，過細的劃分使得拓撲學似乎發展到了空洞的理論邊緣。
  11. And the whole functions of the software include the functions of each class of transformer part are called by the operation of this portion

    本軟體的全部功能，包括問題空間類- - -變壓器部件類中的每個類的專有功能，都通過該部分中的操作函數調用。
  12. Different from previous document clustering method based on nmf, our methods try to discover both the geometric and discriminating structures of the document space in an unsupervised manner, companied with high accuracy in acceptable computationally expensive

    與基於nmf演算法的文本聚類不同，我們的演算法力求以無監督的方式，在時間復雜度允許的范圍內，找到更適合於分類操作的數據向量間的幾何局部特徵向量及相應的各文檔的編碼向量。
  13. The sixth chapter of this thesis employs java to rea1ize the basic c1ass of agent in mas. and a simulation system is made in this thesis. 1nter - - communications among agents are described vi sua11y in thi s simu1at ion sy s tem

    第六章採用java技術，定義和實現智能erp系統的幾個基本agent類，並以一個產品銷售模擬系統形象地描述了mas中agent之間的通信情況。
  14. This paper discusses the application of the characteristic that the fuzzy equivalent relationship equates the normalized distance of the x quotient space in the theoretical model of fuzzy quotient space, and advances the algorithm of text clustering in the fuzzy quotient space

    討論了在模糊商空間理論模型中模糊等價關系與x商空間的歸一化距離等同這一特徵在文本聚類搜索中的應用，並提出了模糊商空間下文本聚類的演算法。
  15. 4. there are many reservoir spaces in the studying area. after the studying of core, petrophysics, capillary, impregnated thin section, sem and electronical characteristics, porosity, cavity and fracture are determined

    6 、本區的儲層主要是巖溶儲層，其儲集空間類型主要有晶間孔、晶間溶孔、溶蝕孔洞、裂縫等。
  16. The paper changes the discretization problems to exploring the best cutting points based on genetic algorithms for discretizing the set of continuous attributes according to the basic concepts of rough set theory, then removing the redundant cuts and producing small discretizations which maintain the required capability of classification

    本文將離散化問題轉化為分割點的尋優問題，綜合考慮多個屬性之間的依賴關系，利用遺傳演算法尋找給定區間數的最優分割點，利用粗糙集理論的基本分類思想，刪除冗餘分割點。
  17. But as self - explanatory sanity checks of changes between library versions, these kinds of tests do not succeed

    但是對于庫版本間變化的自解釋的完整性檢查（ sanity checks ）來說，這些類測試就不能勝任了。
  18. Sequence alignment can also be used to study things like the evolution of languages and the similarity between texts

    序列比對還可用於語言進化或文本間相似性之類的研究。
  19. Fuzzy vector space based on consensus space

    基於改進的向量空間模型的自動文本分類
  20. This paper researches and discusses the theory of latent semantic index, include the theory of single value decompose and word - document matrix. in this paper the author discusses the application of latent semantic index in chinese document clustering based on latent semantic index, researches and discusses vector space model, latent semantic index, electronic dictionary, word - splitting and the algorithm of k - means. this paper presents a improved structure of electronic dictionary and a improved algorithm of word - spliting

    本文對潛在語義索引模型進行系統的研究和探討，包括奇異值分解等相關矩陣理論、詞-文檔矩陣等；同時本文研究和探討了潛在語義索引模型在中文文本聚類中的具體應用和實現，包括文本間相似度的度量、詞-文檔矩陣、奇異值分解的具體實現；同時本文對中文文本聚類所涉及的其他一些中文處理技術，包括向量空間模型、電子字典、切詞、 k - means聚類演算法等也進行了研究和探討。
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