概率檢索模型 的英文怎麼說

中文拼音 [gàilǜjiǎnsuǒmóxíng]
概率檢索模型 英文
probabilistic model
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 索 : Ⅰ名詞1 （大繩子; 大鏈子） a large rope 2 （姓氏） a surname Ⅱ動詞1 （搜尋; 尋找） search 2 （要; ...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  • 檢索 : retrieval; retrieve; search; searching
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  1. In particular, we give the method to compute the initial probability distribution of target ’ s location and the form of detection function. thus we formulate the original problem as an optimal search problem

    本文給出了對目標初始概率分佈函數和探測函數的具體形式，並且將三維模型檢索問題轉化為最優搜索問題。
  2. A fuzzy image data model and a concept of fuzzy space are proposed, in which model visual feature, spatial feature and semantic feature are used for super feature in order to utilize advantage of traditional relation database as well as characteristics of image data and fuzzy retrieval. based fuzzy space, a method of similarity measurement of image is presented to support fuzzy features - based image retrieval and satisfy user ' s query requirement for image. in the thesis, a semantic template and the mechanism of dynamic relevant feedback are defined so that it can express user ' s query semantic and improve retrieval precision and useable capability for image retrieval

    研究了模糊檢索方法和相關反饋機制在圖象檢索中的應用，提出了一種模糊圖象數據模型和模糊空間的概念，該模型將可視特徵、空間特徵、語義特徵看作超屬性，既充分利用了傳統關系數據庫的優點，同時又考慮了圖象數據以及模糊查詢的特點，文中提出的模糊空間和模糊相似性度量方法能支持基於模糊特徵的圖象查詢，較好地體現用戶圖象查詢的應用需求，文中定義的語義模板和相關反饋機制能在一定程度上表達用戶的查詢語義，提高圖象檢索的準確率和易用性。
  3. A cyclic radial shearing interferometer was used to diagnose the wavefront distortion of a laser system and an lcslm ( liquid crysnd spatial ligh modulator ) was used to control it. some results have been summarized as follows : l. according to the theory of scalar quanity diffeaction and the model of the random gaussian phase screen of low frequency wavefront, the effect of the low frequency wavefront with different rms gradient on the focal spot of a laser beam was studied

    本論文在激光光束波前畸變檢測和控制上進行了新的探索，主要就空間相位調制環路徑向剪切干涉儀以及它對波前畸變的檢測和液晶空間光調制器及其對中頻段波前畸變的控制進行了研究，其研究的內容和取得的成果如下：一、根據標量衍射理論，結合低頻波前畸變的高斯隨機位相分佈模型，研究了不同均方根梯度低頻畸變波前對激光光束焦斑聚焦性的影響，並採用描述中頻段波前畸變的功率譜密度概念，模擬計算了它對激光焦斑旁瓣的貢獻。
  4. A concept - based approach is expected to resolve the word sense ambiguities in information retrieval and apply the semantic importance of the concepts, instead of the term frequency, to representing the contents of a document. consequently, a formalized document framework is proposed. the document framework is used to express the meaning of a document with the concepts which are expressed by high semantic importance. the framework consists of two parts : the " domain " information and the " situation background " information of a document. a document - extracting algorithm and a two - stage smoothing method are also proposed. the quantification of the similarity between the query and the document framework depends on the smoothing method. the experiments on the trec6 collection demonstrate the feasibility and effectiveness of the proposed approach in information retrieval tasks. the average recall level precision of the model using the proposed approach is about 10 ? higher than that of traditional ones

    為了獲取詞語在文章中的語義權重，解決詞語的同義、多義模糊問題，提升信息檢索的效率，提出了一種基於概念的檢索模型，模型中設計了一種形式化的文本內容表示框架，框架由2部分構成:文章的"領域"以及"情景與背景"信息，並由概念（形式化語義）加以表示.同時，提出了提取該概念框架的方法，給出了用於框架與檢索要求間匹配的兩階段平滑演算法.實驗表明，在trec6提供的小規模語料集下，採用所提出方法的信息檢索模型與傳統模型相比，平均召回準確率提升了約10 ? ，效果顯著，充分說明了基於本文描述方法構建的、以概念作為處理中介的信息檢索系統的有效性和可行性
  5. The section language model makes the improvement on the traditional statistical language model in two aspects : firstly, aimed at the situation that the conceptual base can possibly correspond to many words in language, but the words in query are merely its particular cases, this paper has introduced the correlation vocabulary table. it contains all the possible words that may correspond to each conceptual base. when constructing the language model, not only the query ’ s words are considered, but also all the words corresponding

    段語言模型對傳統的統計語言模型在兩個方面進行改進:首先針對概念基在語言中可以對應多個詞匯，而查詢語句中的詞匯僅僅是其特例的情況，本文引入了相關詞表的概念，在相關詞表中維護了每個概念基對應的所有可能的詞匯表示，在構建語言模型時不只是根據查詢語句的詞匯，而是通過查詢語句中概念基的所有相關詞匯，這就有效的提高了檢索結果的召回率。
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