Real-world benchmarks
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/arranger1044/DEBD
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资源简介：
该数据集包含了84个来自不同现实世界基准的数据集，用于宽度受限贝叶斯网络的结构学习。这些数据集已经预先划分好，涵盖了多种数据特性和不同的参数设置。规模上，共有84个数据集，任务是对树宽受限的贝叶斯网络进行结构学习。
This dataset consists of 84 datasets derived from various real-world benchmarks, which are dedicated to structure learning of treewidth-constrained Bayesian networks. All these datasets are pre-partitioned, encompassing diverse data characteristics and distinct parameter settings. With a total of 84 datasets, the primary task of this dataset collection is structure learning of treewidth-constrained Bayesian networks.
提供机构：
Publicly available benchmarks
