Randomly Generated AMP Chain Graphs

该数据集包含随机生成的AMP链图，用于评估所提出算法的性能。此外，该数据集还被用来比较包括Stable-PC4AMP、Conservative-PC4AMP和LCD-AMP在内的多种算法与PC-like算法在性能上的差异。该数据集的任务是对算法的结构学习及性能评估。This dataset contains randomly generated AMP chain graphs for evaluating the performance of the proposed algorithm. Additionally, it is utilized to compare the performance of multiple algorithms including Stable-PC4AMP, Conservative-PC4AMP, and LCD-AMP against PC-like algorithms. The task of this dataset is to support structural learning and performance evaluation of algorithms.

搜集汇总

背景与挑战

背景概述

该数据集是论文'AMP Chain Graphs: Minimal Separators and Structure Learning Algorithms'的补充材料，包含随机生成的高斯链图模型数据，共有50个变量，期望相邻顶点数为2，用于结构学习算法的研究。