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sparse matrix相关的网络例句

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与 sparse matrix 相关的网络例句 [注:此内容来源于网络,仅供参考]

The method includes the following steps: firstly, a spherical neighborhood of present sample points is established by using the geometric spherical-modelling theory and all the sample points contained in the spherical neighborhood are adopted as candidate neighbor points, thus not only preserving the effectivity of the dimension reduction capability when data sets are sparse but also getting the advantages of low-sensitivity to isolated points and good stability of the preserved topological structure; then a data relevance matrix more matching semantics can be obtained by relevance measurement based on route clusters to update the candidate neighbor points in the spherical neighborhood and optimize the regular neighborhood space of the present sample points, thus improving the phenomenon that the dimension reduction of sample sets provided with folded curved faces is apt to suffer the integrated-structure distortion in case of heterogeneous data distribution.

首先利用几何开球原理建立当前样本点的球状邻域,将包含在球状邻域内的所有样本点作为候选近邻点,不但能够保持在数据集稀疏情况下的降维性能的有效性,而且具有对孤立点敏感性不高、保留拓扑结构稳定性好的优点。然后利用基于路径聚类的相关性度量得到更符合语义的数据相关性矩阵,用来对球状邻域内的候选近邻点进行更新,优化当前样本点的规则邻域空间,改善了当数据不均匀分布时在带有折叠弯曲面的样本集上降维容易出现整体结构扭曲的现象。

Eigenvalue matrix for resolving sparse polynomial equations is constructed by deploying well arranged basis in semigroup algebra k.

本文利用半群代数k中良序基,构造了求稀疏多项式方程组解的特征值矩阵,并给出了可以构造方阵的条件。

This paper has proposed and realized a kind of text clustering algorithm used for high dimensional sparse similar matrix.

提出并设计了一种用于高维稀疏相似矩阵的文本聚类算法。

The new sparse algorithms were applied to several real life pattern classification problems.6. Based on the singular value decomposition of kernel matrix, SVD-LSSVM was proposed, which oan save time for hyper parameters selection via cross validation.

另外,本文提出的稀疏化算法可直接应用于多类问题。6、本文利用核函数矩阵的奇异值分解,得到了可以节省超参数选取时间的分类器:SVD-LSSVM。

Some of the best modern solution methods employ sparse matrix techniques.

一些现代的最佳解决办法聘请稀疏矩阵技术。

Sparse matrix constructor, to share with you, save a number of their own time.

详细说明:稀疏矩阵构造函数,与大家分享,自己保存了多场时间了。

It appears in various forms in parallel computing, sparse matrix reordering, circuit placement and other important disciplines.

它出现在各种形式的并行计算,稀疏矩阵重排,电路安置和其他重要的学科。

This method could make accurate recommended courses in sparse matrix for students.

该方法在评分数据极端稀疏的情况下也可以为学生作出准确的课程推荐。

This kind of fileformat has the advantage that we can specify a sparse matrix, ie.

这个博客基本全是我摘抄的有用的文章,我的原创文章在 http://www.7blog.org 欢迎访问!

In VC environment under the sparse matrix switch home!

在VC环境下实现稀疏矩阵的转置!

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