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1·Data sparseness is a serious problem in collaborative filtering system.

数据稀疏性是协同过滤系统面临的一个巨大挑战。

2·The data sets have features such as high-dimensional, sparseness and binary value in many clustering applications.

在许多聚类应用中，数据对象是具有高维、稀疏、二元的特征。

3·Wang Chong believed that credulity, no-efficacy and sparseness of knowledge, is the epistemological basis of theism;

王充认为，知贫识浅、苟信闻见、论事不引效验是有神论产生的认识论根源；

4·The hierarchical clustering method is applied to deal with the problem that the solution of MLS-SVM is lack of sparseness.

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。

5·Using pseudowords we can overcome data sparseness problem in supervised WSD and fully verify the experimental effect of word sense classifier.

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。

6·This paper proposes a new method based on mixing matrix estimation for underdetermined blind speech separation, aiming at speech signals under weak sparseness.

针对语音信号的弱稀疏性，提出一种新的基于混合矩阵估计的欠定语音盲分离方法。

7·Although the sparseness of the data may suggest that the social network is not always applicable, a solution to utilize the network in these cases is presented.

数据的稀疏性意味着社会网络并不总是可用，在这种情况下提出一种解决方案，很好地利用了社会网络的有效信息。

8·The sparseness of the Nano is in some ways a welcome counterblast to costly add-ons found in the west, where cars are becoming almost as intelligent as their drivers.

Nano这样的稀有之物是受欢迎的，是对西方那些昂贵附加组件的叛逆，那些车变得和他们的车主一样智能。

9·Support Vector regression is an important kind of method for regression problems. The predicting speed of Support Vector regression is proportional to its sparseness.

支持向量回归机是一种解决回归问题的重要方法，其预测速度与支持向量的稀疏性成正比。

10·Compared with the classical Support Vector Machines, the Least Squares Support Vector Machines lose the sparseness, which would influence the efficiency of re-learning.

最小二乘支持向量机相比传统的支持向量机，丧失了解的稀疏性，影响了二次学习的效率。

稀疏

1·Although the sparseness of the data may suggest that the social network is not always applicable, a solution to utilize the network in these cases is presented.

数据的稀疏性意味着社会网络并不总是可用，在这种情况下提出一种解决方案，很好地利用了社会网络的有效信息。

2·Using pseudowords we can overcome data sparseness problem in supervised WSD and fully verify the experimental effect of word sense classifier.

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。

3·Compared with the classical Support Vector Machines, the Least Squares Support Vector Machines lose the sparseness, which would influence the efficiency of re-learning.

最小二乘支持向量机相比传统的支持向量机，丧失了解的稀疏性，影响了二次学习的效率。

4·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.

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。

5·The data sets have features such as high-dimensional, sparseness and binary value in many clustering applications.

在许多聚类应用中，数据对象是具有高维、稀疏、二元的特征。