用户评分矩阵稀疏问题影响协同过滤的推荐性能。
The sparse user-item matrix often hurts the performance of recommendation system.
求解大型稀疏问题最流行的方法是建立在子空间投影技术之上的。
The most popular methods to solve large sparse problems are based on projection techniques on appropriate subspaces.
这两种方法均不受外部资源所限，能在一定程度上解决数据稀疏问题。
These two methods are both not subject to external resource constraints and would solve the data sparse problem in some extent.
针对协同过滤中的数据稀疏问题，提出了一种基于粗集的协同过滤算法。
Aiming at the problem of data sparsity for collaborative filtering, a novel rough set-based collaborative filtering algorithm is proposed.
使用伪词可以避免有指导的词义消歧方法中的数据稀疏问题，充分验证词义分类器的实验效果。
Using pseudowords we can overcome data sparseness problem in supervised WSD and fully verify the experimental effect of word sense classifier.
利用翻译模板可以有效的解决翻译实例的数据稀疏问题、简化实例库的规模并提高实例匹配的精确率。
Translation template can solve the problem of data sparsity, large storage space and low matching precision of examples.
现有平滑技术利用不同的折扣和补偿策略来处理数据稀疏问题，在计算复杂性与合理性方面各有其优缺点。
The present smoothing techniques deal with the data sparse problem using different discount and compensate strategy, and they have different merit or shortcoming on complexity and rationality.
现有平滑技术虽然已有效地对数据稀疏问题进行了处理，但对已出现事件频率分布的合理性并没有作出有效的分析。
The present smoothing techniques have solved the data sparse problem effectively but have not further analyzed the reasonableness for the frequency distribution of events occurring.
本文利用三元模型，通过引入相似词，采取“词形-相似词-词性”三步回退的策略，比较好地缓解了数据稀疏问题。
Based on trigram models, this paper proposes a three-step method of "word-similar word-part of speech" by incorporating the similar words and solves the problem of sparse data to a large extent.
Meschach可以解稠密或稀疏线性方程组、计算特征值和特征向量和解最小平方问题，另外还有其它功能。
Meschach was designed to solve systems of dense or sparse linear equations, compute eigenvalues and eigenvectors, and solve least squares problems, among other things.
据这项对2000名英国男性开展的调查显示，脱发或头发稀疏是男性担心的第二大形象问题，有40%的受访者对此感到担忧。
Hair loss or thinning, is the second most common concern, worrying 40 percent of the respondents to the Mintel survey of 2, 000 British men.
我们介绍且激发课程的主题将朝向于实例学习法的问题设定，例如稀疏值中多变量函数近似的问题。
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.
稀疏向量法通过利用向量的稀疏性来提高求解矩阵方程的效率，它被成功地应用到电力系统分析的众多问题。
The sparse vector method enhances the efficiency of matrix solution algorithms by exploiting the vector sparsity. It has been successfully applied to many problems arising in power systems.
人脸识别实质是稀疏超高维空间、典型的小样本模式识别问题。
Face recognition is essentially a typical small-sample pattern recognition problem in sparse hyper-high dimensional space.
研究了计算大型稀疏对称矩阵的若干个最大或最小特征值的问题。
The problem of computing a few of the largest (or smallest) eigenvalues of a large sparse symmetric matrix is investigated.
基于秩- 1更新，提出了稀疏贝叶斯学习算法(SBLA)。该算法具有较低的计算复杂度和较高的稀疏性，从而适合于求解大规模问题。
Based on a rank-1 update, we propose sparse Bayesian Learning Algorithm (SBLA), which has low complexity and high sparseness, thus being very suitable for large-scale problems.
但是随着研究深入，出现稀疏数据成像问题，无法用传统方法重建清晰图像。
With the in-depth study, however, appearing sparse data imaging, which traditional methods can not used to reconstruct a clear image.
运用谱系聚类方法解决多核最小二乘支持向量机的解缺乏稀疏性的问题。
The hierarchical clustering method is applied to deal with the problem that the solution of MLS-SVM is lack of sparseness.
研究了WDM网络中在稀疏分光器配置约束下的多播选路问题。
This paper investigate the problem of multicast routing in mesh WDM networks with sparse light splitter configuration.
信号的稀疏表示或最佳n -项逼近是数据压缩、噪声抑制等众多应用中的一个重要问题。
Signal sparse representation or the optimal N-term approximation is one of the important problems, which is applied to many areas such as the data compression, denoising.
本论文中我们利用信号的稀疏性解决一系列无线通信中的问题。
The theme for this thesis is to exploit sparsity in a number of wireless communication problems.
基于稀疏综合孔径天线概念，研究了平流层飞艇载对地观测成像雷达系统中的重要问题。
Based on the concept of aperture synthesis sparse antenna, the imaging radar on the stratosphere airship for the earth observation is investigated.
该模型的建立对于缓解协同过滤技术中存在的稀疏性问题、推荐的实时性问题有很大的帮助。
This model of collaborative filtering technology is great help in the mitigation of existing sparse problems and recommendation in time.
然后将其与地震子波褶积，使其求解结果与实际地震数据的最小平方问题归结为求解一大型稀疏矩阵方程，并采用奇异位分解法求解。
The least square problem of the convolution result and real seismic data can be considered as the solution of a huge rarefactional matrix equation, which can be solved by singular value decomposition.
将识别问题看作是多个线性回归模型中的分类问题，并用稀疏表示理论解决这些问题。
The recognition problem is taken as one of classifying among multiple linear regression models, and sparse signal representation is used to solve this problem.
本文讨论描述流体在稀疏介质中流动规律的一类拟线性抛物型方程具有第三类非线性边界条件的初边值问题。
This dissertation is to discuss the laws of fluids in porous medium for original boundary value problem of some quasi-linear parabolic equations with the third type nonlinear boundary condition.
针对目前冗余字典下信号稀疏分解常用算法计算复杂度高的问题，提出一种分组匹配追踪算法。
For the extremely high complexity of usual algorithms for sparse decomposition, a new group matching pursuit algorithm is presented based on a redundant dictionary with several orthonormal bases.
针对信号稀疏分解中过完备原子库存储量大的问题，本文提出了利用信号集合划分研究过完备原子库的新方法。
Aiming at the problem of the large over-complete dictionary storage, a new method is proposed based on signal set partitioning method.
针对信号稀疏分解中过完备原子库存储量大的问题，本文提出了利用信号集合划分研究过完备原子库的新方法。
Aiming at the problem of the large over-complete dictionary storage, a new method is proposed based on signal set partitioning method.
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