vector space 中文意思是什麼

vector space 解釋
矢量空間
  • vector : n 1 【數學】向量，矢量，動徑。2 【航空】飛機航線；航向指示。3 【天文學】幅，矢徑。4 【生物學】帶...
  • space : n 1 空間；太空。2 空隙，空地；場地；（火車輪船飛機中的）座位；餘地；篇幅。3 空白；間隔；距離。4 ...
  1. We have discussed sum for subspace of vector space, and cannot popularize sum of subspace to infinitude

    摘要對向量空間的子空間的和的概念不能推廣到無限多個子空間的情形進行了討論。
  2. Experiments are performed and results show : 1 the popular retrieval models the okapi s bm25 model and the smart s vector space model with length normalization do not perform well for document similarity search ; 2 the proposed model based on texttiling is effective and outperforms other models, including the cosine measure ; 3 the methods for the three components in the proposed model are validated to be appropriately employed

    我們通過實驗驗證了以下三點： 1 trec中的常用信息檢索模型不能很好地解決文檔相似搜索2我們提出的基於texttiling技術的模型是有效的，性能優于其他模型3我們提出的模型中所採用的方法是有效的，包括利用texttiling技術進行文本子主題分割，利用餘弦公式來計算文本塊之間的相似度，以及利用最優匹配方法來求解文檔之間的總體相似度。
  3. Document similarity search is to find documents similar to a given query document and return a ranked list of similar documents to users, which is widely used in many text and web systems, such as digital library, search engine, etc. traditional retrieval models, including the okapi s bm25 model and the smart s vector space model with length normalization, could handle this problem to some extent by taking the query document as a long query

    文檔相似搜索指從文檔集中檢索與給定查詢文檔相似的文檔。對于給定的查詢文檔，我們期望文檔相似搜索系統能夠返回一個按相似度排序的相似文檔列表。文檔相似搜索技術已經被廣泛應用到電子圖書館，搜索引擎等系統中，例如citeseer . ist科學文獻數字圖書館的相似文獻推薦功能， google的相似網頁查詢功能等。
  4. 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。
  5. Patent categorization based on kernel vector space model

    基於核向量空間模型的專利分類
  6. Vector space model based on html document structure

    基於向量空間模型的文檔聚類演算法研究
  7. 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
  8. Design of information retrieval system based on vector space model

    基於合意空間的模糊向量空間
  9. Research for spam filtering based on the vector space model

    基於向量空間的垃圾郵件過濾方法研究
  10. A bayes text classification method based on vector space model

    基於向量空間模型的并行信息檢索演算法
  11. Through the experiment, we test its feasibility. 3 、 to solve the insufficiency of the svm method, the thesis proposes another algorithm based on similarity computing for verb subcategorization acquisition, and use two different sentences similarity getting algorithms to the acquisition : vector space model and the algorithm for sentence structure similarity getting that based on word class cluster

    3 、針對支持向量機方法在自動獲取性能方面的不足，探索提出了基於相似度計算的動詞次范疇獲取演算法，並分別使用了兩種不同的句子相似度獲取演算法:向量空間模型和基於詞類串句子結構相似度獲取演算法，用於動詞次范疇類獲取。
  12. Let d be a nonzero k - vector space of commuting - derivations of a. kaim - ing zhao and yucai su studied the associative algebra a [ d ] = ak [ d ] of weyl type constructed from the pair of a commutative associative algebra. 4 and its commutative derivation subalgebra d over a field k of arbitrary characteristic

    趙開明和蘇育才研究了任意特徵的域上具有單位元的交換結合代數a和它的交換導子的子空間d所構造的weyl型代數。他們證明了a [ d ]是單lie代數的充分必要條件是a是d -單的且k _ 1 [ d ]忠實地作用在a上。
  13. A set of non - linear differential equation of this model is formulated based on lagrange ’ s equation. the tension of the cable, the control force of translation and the control torque of rotation are obtained by the method of newton ’ s laws in vector space. the tethered mass system is modeled as a spherical pendulum

    本文基於一種常見的繩系單體系統，運用lagrange方程建立了該系統的非線性運動微分方程，採用矢量法對該運動微分方程進行了校核，並推導出吊索的張力、變幅控制力和回轉控制力。
  14. There are two kinds of retrieval model, full text retrieval and content retrieval, and the vector space model ( vcm ) of the latter is a widely - used method with better effect. the best excellence of vcm is the predominance of knowledge presentation, which expresses documents with vectors in vector space and changes the comparability issue to the distance of vectors, and thus reduces the complexity of documents matching. however. we can not affirm the absolute effect of it, and in this thesis we prove its nonproficiency through experiments

    向量空間模型最大的優點在於知識表示方法上的巨大優勢，用n維空間的向量表示文檔，用向量之間的夾角表示文檔的相似度，從而將文檔信息的匹配問題轉化為向量空間中的矢量匹配問題，將難以計算的文字量化成很容易計算的實數，使問題的復雜性大大減小。但是，並不能夠說目前的向量空間模型是最理想的，本文通過實驗證明了vcm表達信息的不精確性。
  15. Linear vector space

    線性矢量空間
  16. The secure threshold secret sharing scheme and the secure vector space secret sharing scheme proposed in the dissertation can meet this need

    本文提出的安全的門限秘密共享方案和安全矢量空間秘密共享方案能夠滿足這一要求。
  17. A vector space secret sharing - multisignature scheme is proposed based on vector space secret sharing scheme and multisignature scheme. the security of this scheme is analyzed

    把矢量空間秘密共享方案與多重簽名方案結合起來，建立矢量空間秘密共享-多重簽名方案，並對該方案的安全性進行了分析。
  18. This dissertation reviews the research advances of secret sharing schemes, designs secure threshold secret sharing schemes, and constructs secure and efficient secret sharing schemes based on vector space access structure

    本文闡述了秘密共享方案的研究現狀及背景，設計了安全門限秘密共享體制，並在此基礎之上構造安全有效基於矢量空間訪問結構的秘密共享體制。
  19. Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce

    因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。
  20. The threshold scheme is actually a particular case of the vector space secret sharing scheme. therefore the vector space secret sharing scheme can find more applications than the threshold scheme. in the above two schemes, every participant is required verifying the shares of the other participants, and the computation complexity is relatively high

    在上述兩個方案中，每一個參與者都需對其餘參與者出示的子秘密進行驗證，驗證工作量很大，有時在實際當中需要採用計算量比較小的方案，並且能夠發現欺詐者的存在。
分享友人
分享到 Line

分享到臉書