Create and manage personal geodatabases, multiuser geodatabases, and feature datasets.
创建和管理个人地理数据库，多用户地理数据库和功能集。
A unique feature of the datasets is a taxonomy annotating known relations between the items.
这个数据集中的独到之处在于，因为分类注解而知道条目之间的关系。
In this paper, a posterior-probability-based feature selection algorithm is proposed for imbalanced datasets.
针对不平衡数据集，提出一种基于后验概率的特征选择算法。
Numerical experiments on ORL facial database and man-made datasets show ILDA achieves good performance in feature extraction.
若干标准人脸数据集和人工数据集上的实验表明ILDA在特征提取方面的有效性。
According to various of applications of the datasets, feature selection algorithms can be categorized as either supervised learning or unsupervised learning feature selection approaches.
属性选择问题可以分为有指导学习环境下的选择和无指导学习环境下的选择。
According to various of applications of the datasets, feature selection algorithms can be categorized as either supervised learning or unsupervised learning feature selection approaches.
属性选择问题可以分为有指导学习环境下的选择和无指导学习环境下的选择。
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