• The main disadvantage of the way is the problem of data sparsity.

    对于半监督方法,目前存在一个严重问题数据稀疏问题。

    youdao

  • Data sparsity problem is a potential challenge of collaborative filtering.

    数据稀缺性问题协同过滤技术面临主要挑战

    youdao

  • Translation template can solve the problem of data sparsity, large storage space and low matching precision of examples.

    利用翻译模板可以有效解决翻译实例数据稀疏问题、简化实例的规模提高实例匹配精确率

    youdao

  • Aiming at the problem of data sparsity for collaborative filtering, a novel rough set-based collaborative filtering algorithm is proposed.

    针对协同过滤中的数据稀疏问题,提出了基于集的协同过滤算法

    youdao

  • However, collaborative filtering has got challenges, such as data sparsity, high dimensions, cold start, and real-time recommendation issues with the fast growth in the amount of users and items.

    但是随着用户数量系统规模不断扩大,协同过滤推荐技术将面临严重的数据稀疏性、超高维启动和实时推荐方面的挑战。

    youdao

  • In research, sample data were mapped to sparse feature space to prevent the loss of SVM's sparsity when the kernels were fused.

    避免进行融合支持向量机稀疏缺失,提出将数据映射稀疏特征空间进行研究

    youdao

  • The magnitudes of items and users in the system results in the extreme sparsity of user rating data, which makes it difficult to find neighbors effectively.

    随着系统中资源数目用户数目的不断增加,整个资源空间上用户评分数据极端稀疏,给有效查找最近邻居带来很大的困难

    youdao

  • It is hard to cluster high-dimensional data using traditional clustering algorithm because of the sparsity of data.

    高维空间中,由于数据稀疏性,传统方法难以有效地聚类高维数据。

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  • The sparsity and the problem of the curse of dimensionality of high-dimensional data, make the most of traditional clustering algorithms lose their action in high-dimensional space.

    高维数据稀疏性和灾”问题使得多数传统算法失去作用,因此研究高维数据集的聚类算法己成为当前的一个热点。

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  • Owing to the sparsity of high-dimensional data and the features of categorical data, it needs to develop special methods for high-dimensional categorical data.

    现有数据聚类方法仍存在着各种不足,聚类速度结果的质量不能满足大型、高维数据库上的聚类需求

    youdao

  • The sparsity of SAR image data was discussed based on the backscattering properties of targets in the image.

    利用合成孔径雷达(SAR)图像目标的后散射特性和目标散射中心理论,分析了SAR图像数据稀疏性的成因。

    youdao

  • The sparsity of SAR image data was discussed based on the backscattering properties of targets in the image.

    利用合成孔径雷达(SAR)图像目标的后散射特性和目标散射中心理论,分析了SAR图像数据稀疏性的成因。

    youdao

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