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Research achievement detail

Title A Note on the Inference Algorithm on the Factor Graph based on the Linear Programming (in Japanese)
Authors Shunsuke Horii 、Toshiyasu Matsushima 、Shigeichi Hirasawa
Released Year 2010
Format Conference
Category Channel coding
Jounal Name
Jounal Page vol.110, no.363, IT2010-63, pp.55-60
Published Year 2011
Published Month 1
Abstract
(English)
Probabilistic inference problem on the graphical model is very important since it is arising in many applications which include theory of error-correcting codes, image processing, speech recognition, and so on. Recently,linear programming based decoding algorithm for the error-correcting code has been receiving a lot of attention. Viewing the decoding problem as an example of the probabilistic inference problem on the graphical model, the factor graph corresponds to the problem has some specifi c structure. The functions in the factor graph can be classified into two classes, indicator functions and non-indicator functions. For the graph corresponds to the decoding problem, each non-indicator function is connected to only one variable node. On the other hand, the factor graph corresponds to the general probabilistic inference problems possibly have non-indicator functions which is connected to more than one variable nodes. The aim of this study is to develop the linear programming based
inference algorithm for general inference problems.
Note
(English)
1
Manuscript
Presentation