Information Geometry of Loopy BP
Supplementary Proceedings of ICANN/ICONIP2003, pp. 54–57
著者:
- Shiro Ikeda
- Toshiyuki Tanaka
- Shun-ichi Amari
Abstract:
Belief propagation (BP) is an efficient algorithm to solve the inference problem of graphical models. We give the information geometrical view of the algorithm, and propose a new cost function which yields a new algorithm.