Relaxing the local independence assumption for quantitative learning in acyclic directed graphical models through hierarchical partition models

Daniela Golinelli, David Madigan, Guido Consonni. Relaxing the local independence assumption for quantitative learning in acyclic directed graphical models through hierarchical partition models. In David Heckerman, Joe Whittaker, editors, Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, AISTATS 1999, Fort Lauderdale, Florida, US, January 3-6, 1999. Society for Artificial Intelligence and Statistics, 1999. [doi]

Abstract

Abstract is missing.