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。
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；
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。
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。
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。
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。
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。
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。
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。
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。
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。
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