Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
A standard and explicit mapping into a high-dimensional feature space is proposed for kernel-based data analysis. It will be shown tht using this method, no disadvantage will occur while many kernel methods will be simplified. An application to text analysis will be shown.