Stylistically, the IBM/ mainframe roots of Rexx show in its case-insensitive commands; and to a lesser degree in the relative sparsity of punctuation it uses ( preferring keywords to symbols). 在文体上,Rexx的IBM/mainframe根源体现在它对命令的大小写敏感;在某种次要程度上也体现在它使用标点符号相对较少(更多用关键字而不是符号)。
It is necessary and possible to lead the concept of sparsity into the theory of labor value. 将稀少性的概念引入劳动价值论既有必要,也有可能。
However, the dependency of neighborhood coefficients is also a prior to accelerate the convergence of reconstruction algorithm besides the sparsity. 除了稀疏性之外,邻域系数的相关性也可以作为先验知识加速重构算法收敛。
Thirdly, the application of these sparsity properties to SAR image feature-enhancement was investigated. 然后,分析了稀疏约束在SAR图像分辨率增强中的应用方法。
For a general banded matrix, discuss the sparsity pattern of the Q and R matrices from the QR decomposition of symmetric and non-symmetric tridiagonal matrices. 对于一般的带状矩阵,详述对对称与非对称三对角化矩阵做QR分解后,Q矩阵与R矩阵的稀疏元素分布型态。
Research of Sparsity and Cold Start Problem in Collaborative Filtering 协同过滤系统的稀疏性与冷启动问题研究
The sparsity and the problem of the curse of dimensionality of high-dimensional data, make the most of traditional clustering algorithms lose their action in high-dimensional space. 高维数据的稀疏性和“维灾”问题使得多数传统聚类算法失去作用,因此研究高维数据集的聚类算法己成为当前的一个热点。
Associated with access to services, employment, and leisure, they are functions of population sparsity, demography, opportunity, and geography. 与在城市获得服务,就业,休闲相比,他们则显示出人口稀疏,机遇和地理的劣势。
Research of Data Sparsity Problem in Recommendation Systems Based on Collaborative Filtering 基于协同过滤推荐系统的数据稀疏性问题研究
The technology of improving warp tension fluctuation of loom and reducing sparsity denseness road 改进织机经纱张力波动及降低稀密路技术
Effective hybrid collaborative filtering algorithm for alleviating data sparsity This property is read-only once the data source is bound. 一种有效缓解数据稀疏性的混合协同过滤算法如果数据源为结合型,则该属性是只读的。
The fast inverse iteration algorithm and sparsity technique are also exploided to reduce the computation time and memory requirement. 在算法上采用快速逆迭代原理并应用稀疏存贮技术有效地节约了机时和内存。
Data set size, dimensionality and sparsity have been identified as aspects that make cluster more difficult. 数据集合的大小,数据的维数和数据的稀疏性都是制约聚类的不同方面。
This is not only because of the sparsity of the fringed. 这不仅是由于条纹稀疏。
Result: GEPRB can reduce the cumulating thickness of the basilar membrane and that of the vascular pattern, so as to tighten up the sparsity of the spiral ganglion cells. 结果:豁痰祛瘀颗粒能降低糖尿病大鼠升高的血糖,减轻糖尿病大鼠早期耳蜗基底膜、血管纹增厚程度,使稀疏的螺旋神经节细胞变致密。
The experimental results show that the optimized algorithm can increase prediction precision, by way of reducing sparsity and cold-start problems, and realizing real-time recommendation effectively. 实验表明,该算法通过有效降低稀疏性、冷开始和实现实时推荐,提高了预测精度。
However, with the increasing of system users and the number of goods, Collaborative filtering also faces severe challenges such as sparsity problem, accuracy problem and so on. 但随着电子商务系统用户和商品数量的增加,协同过滤也面临着稀疏性、精确性等问题的考验。
The sparsity of SAR image data was discussed based on the backscattering properties of targets in the image. 利用合成孔径雷达(SAR)图像中目标的后向散射特性和目标散射中心的理论,分析了SAR图像数据稀疏性的成因。
It discusses the exploitation of sparsity in large LP problems as used in practice. 对高阶线性规划问题实际应用的稀疏技术的开发作了探讨。
Using the sparsity of the scene, pixels above the threshold are mapped to a triple before entropy encoding for both grayscales and locations. 利用场景的稀疏性,将阈值以上的像素映射到三元组,对其灰度和位置信息分别熵编码;
Algorithms in semigroup algebra k [ A] can improve the efficiencies because they utilize the sparsity of polynomials. 由于利用了多项式的稀疏性半群代数K[A]中算法提高了效率。
The application of sparsity technology evidently makes the matrix calculation of power system more efficient. 稀疏技术在电力系统中的应用显著提高了电力系统矩阵运算的效率。
In this paper, investigate the nonlinear inverse problem of sparsity constraint regularization. 本文研究了非线性反问题的稀疏约束正则化方法。
The sparsity of the edges is considered in the regularization model. 为该正则化模型引入了边缘稀疏约束,并研究了求解方法。
We proposed an object tracking algorithm based on sparsity feature and color feature. 提出结合稀疏性和颜色的方法实现目标追踪的算法。
It is hard to cluster high-dimensional data using traditional clustering algorithm because of the sparsity of data. 在高维空间中,由于数据的稀疏性,传统的聚类方法难以有效地聚类高维数据。
This improved program has solved the scalability, sparsity, cold start problems in a certain extent. 改进方案在一定程度上解决了CF推荐算法遇到的矩阵稀疏性问题、冷启动问题和可扩展性差问题。
Sparsity of the target and the sampling rate on the reconstructed image quality also has been analyzed. 并对目标物体稀疏性和采样率对图像恢复质量的影响进行了分析。
The sparse Bayesian learning algorithm guarantees the sparsity of the weighting coefficient matrix. 稀疏贝叶斯学习算法的应用,使得加权系数矩阵具有很好的稀疏性,保证了重建图像的质量。
Based on it, the incompletely sparsity problem is also put forward. 并在此基础上,提出了非完全稀疏性的问题。