sparseness

英[spɑːsnəs] 美[spɑːsnəs]
  • n. 稀疏;稀少
Noun:
  1. the property of being scanty or scattered; lacking denseness

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。

youdao

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。

youdao

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;

youdao

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。

youdao

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。

youdao

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。

youdao

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。

youdao

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。

youdao

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。

youdao

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。

youdao

11. The experiments on several pattern classification problems show that HS-LSSVM has high sparseness while holds good classification performance and its sparse process is fast.
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。

youdao

12. The transform is characterized by optimum sparseness constraint condition that makes the mapping energy of primary reflections on a set of basis function as small as possible.
该变换具有最优稀疏约束条件,能使一次波在一组基函数上的投影能量尽可能小。

youdao

13. 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。

youdao

14. But its quakes, however frequent, are usually quite small. And the sparseness of the country's human population, at just 4m, has meant that severe damage and loss of life are rare.
不过,这里的地震虽频繁,但通常很微弱,且该国人烟稀少,仅仅400万之众,这意味着惨重破坏和人员生命损失几率极微。

youdao

15. In order to solve the sparseness of LS-SVM results and restrain the influence of the sample-outliers, a new method of optimized samples by part samples center distance is presented.
为了克服LS-SVM解非稀疏性的缺点,同时抑制偏差较大的训练样本对海底趋势面构造的影响,提出一种基于局部样本中心距离的训练样本优化方法。

youdao

16. Such a taxonomy is expected to be particularly useful here, due to the large number of items and the sparseness of data per item (mostly attributed to "tracks" rather than to "artists").
这样的分类是非常有用的,因为条目巨多并且每条数据不全(因为有 "track"属性而没有 "artists" 属性)。

youdao

17. The result of mining shows that, in the case of the data extremely sparseness, project-based collaborative filtering recommendation method is effective to improve the recommended quality.
挖掘结果表明,在数据极端稀疏的情况下,基于项目的协同过滤推荐方法明显的提高了推荐质量。

youdao

18. The result of mining shows that, in the case of the data extremely sparseness, project-based collaborative filtering recommendation method is effective to improve the recommended quality.
挖掘结果表明,在数据极端稀疏的情况下,基于项目的协同过滤推荐方法明显的提高了推荐质量。

youdao

    用作名词 (n.)
    1. Because the data it used was not users' rating but users' browse route, the problem of data sparseness and initial rating was resolved.
      由于数据不是简单的用户评分,而是用户浏览网页的路径,这样就解决了数据稀疏问题和最初评价问题。
    2. Based on the clustering method, the mixing matrix was first estimated by a new potential function using the sparseness of sources.
      首先,利用变换后信源的稀疏特征,采用一新的势函数通过聚类算法估计混叠矩阵。