稀疏向量 的英文怎麼說
中文拼音 [xīshūxiàngliáng]
稀疏向量
英文
sparse vector-
I know thou art great and that its a sin to pray to thee about this, but for gods sake do make the old wolf come out upon me, and make karay fix his teeth in his throat and finish him before the eyes of uncle, who is looking this way. a thousand times over in that half - hour, with intent, strained, and uneasy eyes rostov scanned the thickets at the edge of the copse with two scraggy oaks standing up above the undergrowth of aspen, and the ravine with its overhanging bank, and uncles cap peering out from behind a bush on the right
我知道你很偉大，請求你做這件事真是罪過但是看在上帝份上，做一件好事，叫那隻大狼鉆到我面前來，叫卡拉伊當著向那邊觀察的大叔的面，拚命地咬住大狼的喉嚨。 」就在這半個鐘頭以內，羅斯托夫用那緊張而不安的逼視的目光千次地打量森林的邊緣，一些別種幼樹夾雜在山楊樹中間，上面聳立著兩顆稀疏的橡樹，他還注視著被雨水沖掉邊緣的溝壑以及右面那座灌木林后依稀可辨的大叔的皮帽。On the other hand, in the approach based on vector - matrix, through several special operations on vector - matrix, we have constructed a sparse ‘ 0 ’, ‘ 1 ’ parity - check matrix with dual diagonal matrix whose structure can easily construct the code. the simulation results have demonstrated the performance of this approach is similar to that of - rotation while the complexity is also higher. this problem is to be solved in the future research
在基於矢量矩陣的結構化方法中，通過對矢量矩陣進行一系列特殊處理可以構造出稀疏的『 0 』 、 『 1 』校驗矩陣，而校驗矩陣中的雙對角結構易於構造出相應的ldpc碼字，模擬表明，採用矢量矩陣的結構化方法具有和-旋轉構造法相當的性能，但是實現的復雜度大於-旋轉構造法，同時碼率和碼長受到一定的限制，這也是未來需要研究的方向。Within the framework of sparse bayesian learning, the algorithm extends the relevance vector machine by combining global and local kernels adaptively in the form of multiple kernels, and the improved locality preserving projection ( llp ) is then applied to reduce the column dimension of the multiple kernel input matrix to achieve less training time
在稀疏貝葉斯學習的框架下，該演算法首先以多核形式自適應結合全局核函數和局部核函數擴展相關向量機，然後應用改進的保局投影來約簡多核輸入矩陣的列維數以減少訓練時間。It adopts the hierachical clustering in vocabulary vsm model because of its special function, on the other hand enriches the subcategory tagging information by rules, it can decrease me data sparse problem, and introduces the confidence intervals into the model for the selection of priority between statistics and rules
另外還對標注模型從兩方面作了優化，由於詞匯特徵向量的特殊作用，本文對特徵詞匯採用層次聚類來提高其分類精度；另一方面，引入規則來進一步豐富細分類標注信息，減少數據稀疏等問題，並且引入置信度來選擇統計與規則的優先關系。We introduce and motivate the main theme of the course, the setting of the problem of learning from examples as the problem of approximating a multivariate function from sparse data - the examples
我們介紹且激發課程的主題將朝向于實例學習法的問題設定，例如稀疏值中多變量函數近似的問題。Different from other rank reduction methods, such as pca ( principal component analysis ) and vq ( vector quantization ), nmf ( nonnegative matrix factorization ) can get nonnegative, sparse basis vectors which make possible of the concept of a parts - based representation
與pca （主分量分析）和vq （矢量量化）等降維演算法不同， nmf （非負矩陣分解）演算法能夠分解出非負的，稀疏的特徵矩陣和編碼矩陣，能夠提取原始數據向量的局部特徵，使基於局部特徵進行分類的聚類演算法更容易實現。As a de facto object - oriented modeling standard language, the complexity and magnitude of uml ( unified modeling language ) is inevitable. however, it also contains a lot of standard elements with vague and sparse semantics
Uml （ unifiedmodelinglanguage ）作為事實上的面向對象建模標準語言，它的復雜性和龐大性是不可避免的，但是它也包括了大量的具有模糊、稀疏語義的標準元素。Secondly, typical approaches of studying on vegetation have included radiative transfer, four - stream, geometric optics, hybrids of two or more of these, and numerical simulation. then we introduced several models for density or sparse vegetation, soil and desert
然後，簡單論述了建立植被散射模型的發展動態和幾種典型方法：輻射傳輸模型、四通量模型、幾何光學模型以及復合模型等，初步研究了用於稠密植被、稀疏植被、土壤、沙漠等環境背景的雙向反射函數模型。To conclude a sparse solution, we present an improved algorithm for least squares support vector machines, and prove its effect by an experiment
對原有的最小二乘支持向量機在稀疏性上進行了改進，並通過實驗，對改進后的最小二乘支持向量機的分類效果進行了驗證。To get sparse sample library and reduce eigenvector dimension, a new concept of reconstructing sample library and its corresponding algorithm are introduced and presented, respectively
提出重構樣本庫的概念及構建演算法，獲得稀疏樣本庫，減少特徵向量維數。Instead, there needs to store only the original coefficient matrix, some auxiliary matrices for the preconditioner and several vectors in the iteration methods. further, the core of the iteration is the matrix - vector multiplication and the solution of the auxiliary equations corresponding to the preconditioner. if the solution of the auxiliaries spend not very much, the computational cost in each iteration step will be very cheap, due to the fact that the sparsity of the matrix can be exploited sufficiently
與直接法相比，迭代法只需存儲原系數矩陣、對應于預處理的幾個輔助矩陣與少量幾個向量，且迭代中除求解輔助線性方程組外，其餘的計算主要是稀疏矩陣與向量乘積，從而能充分利用稀疏性減少計算量，但迭代法的收斂速度一般與系數矩陣的譜分佈有關。In this thesis, we mainly use snmf ( sparse nonnegative matrix factorization ) as the method of rank reduction, which extend the nmf to include the option to control sparseness explicitly
本文主要採用snmf （非負稀疏矩陣分解）演算法作為降維和提取特徵向量的工具，該演算法是在nmf演算法的基礎上加上顯式地稀疏因子控制而形成的一種非負矩陣分解方法。Based on the two - way cross list for storing sparse block matrices fast algorithm between block matrices and bandwidth optimization based on node reorder in sparse block matrices were conducted to reduce calculation complexity and memory capacity of the finite element analysis
摘要在稀疏分塊矩陣的雙向正交鏈表存儲結構的基礎上，採用矩陣間的快速演算法和基於稀疏分塊矩陣的帶寬優化技術，減少了結構有限元分析的計算量和存儲容量。分享友人