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sparseness

网络  稀少; 稀疏; 稀疏性; 稀疏度; 稀疏化

COCA.37869

英英释义

noun

双语例句

  • 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。
  • 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。
  • Experimental results show that Matrix filling method can effectively relieve the data sparseness problem in recommendation system.
    实验结果表明:该方法可以有效缓解推荐中数据稀疏性问题。
  • A genetic algorithm with adaptive evaluation function is presented to deal with data sparseness problem in automatic semantic tagging.
    针对数据稀疏问题,采用适应度函数较灵活的遗传算法做语义的自动标注;
  • Summing up the history and the current development of the personalized recommendation system, and pointing out the two bottleneck problems of "cold start" and "data sparseness" existing in the collaborative filtering recommendation algorithm. 2.
    本文主要做了以下研究工作:1.对个性化推荐系统的发展历史及现状进行了综述,指出了协同过滤推荐算法中存在的冷开始和数据稀疏性两大瓶颈问题。
  • General clustering approaches, such as distance-based and statistics-based, are not adapted to classification of outliers because of their characteristic of fewness data and sparseness.
    离群数据是数据中的小模式,因其固有的少数据与稀疏性等特征,使得基于距离或基于统计等常规聚类方式不适用于对离群数据的分类。
  • 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。
  • In this paper, an improved algorithm of image feature extracting for independent component analysis was proposed based on basic functions'maximization of sparseness.
    利用基函数稀疏性的极大值特点,本文提出一种改进的基于独立分量分析的图像特征提取算法。
  • With the increasing number of users and projects, sparseness problem will become more and more serious.
    数据稀疏是影响推荐系统质量的瓶颈问题,随着用户和项目的数量不断增加,稀疏性问题将会越来越严重。
  • This approach make use of the sparseness of speech signals and the independent characteristics of speech signals. Use the fast quasi-newton method, it greatly simplify the Hessian matrix, and it also greatly increases the speed of operation.
    该方法运用语音信号的稀疏性和语音信号之间相互独立的特性,使用快速相对牛顿法,使得在牛顿法中,求海森阵的步骤大为简化,大大提高了运算速度。