MOD
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/lizekang/dstc10-mod
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资源简介：
该数据集是根据等熵条件模型生成的合成数据，旨在进行性能评估。该模型采用具有特定依赖结构的二元随机变量。任务包括学习马尔可夫边界以及恢复有向无环图（DAGs）。
This dataset is synthetic data generated based on the isentropic conditional model, intended for performance evaluation. The model employs binary random variables with specific dependency structures. The tasks include learning Markov blankets and recovering Directed Acyclic Graphs (DAGs).
