Given a directed graph, G=(V,E), a path query, path(u,v), returns whether there is a directed path from u to v in G, for u,v vertices in V. Given only V, exactly learning all the edges in G using path queries is often impossible, since path queries cannot detect transitive edges. In this paper, we study the query complexity of exact learning for cases when learning G is possible using path queries. In particular, we provide efficient learning algorithms, as well as lower bounds, for multitrees and almost-trees, including butterfly networks.
翻译:G=(V,E)是一个定向图表,G=(V,E),路径查询,路径(u,v),返回从u到 v in G的定向路径,对于 V 的 u,v vertics。鉴于只有V,精确地学习G使用路径查询的所有边缘往往是不可能的,因为路径查询无法探测中转边缘。在本文中,我们研究了在可能使用路径查询学习 G 的情况下,对案例进行精确学习的查询复杂性。特别是,我们为多树和包括蝴蝶网络在内的近树提供了高效的学习算法和下限。