next up previous
Next: はじめに

ベイジアン自己組織化写像の高速学習アルゴリズム


宇津木明男(PY)
生命工学工業技術研究所

Fast learning algorithm for Bayesian self-organizing maps


Akio Utsugi
National Institute of Bioscience and Human-Technology
email: utsugi@nibh.go.jp, http://www.aist.go.jp/NIBH/~b0616/

Abstract The Bayesian self-organizing map (BSOM) is a statistical method to extract intrinsic topological structures hidden in multidimensional data. Unlike the traditional self-organizing map (SOM), the learning of BSOM is regarded as an estimation algorithm of a stochastic model, and thus statistical techniques for high-level inference are available. In this paper, a fast search algorithm for optimal parameters and hyperparameters of BSOM is presented.





Utsugi Akio;(6730)
Thu Aug 8 18:07:48 JST 1996