sparse vector 中文意思是什麼
sparse vector
解釋
稀疏向量-
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。 -
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。 -
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。 -
Girosi, f. " an equivalence between sparse approximation and support vector machines. " neural computation 10 ( 1998 ) : 1455 - 1480
文章中討論支持向量機與基礎追蹤去雜訊法之間的關系。
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