Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9877648 | Physica D: Nonlinear Phenomena | 2005 | 8 Pages |
Abstract
Renormalization group (RG) theory and statistical data analysis are obviously closely related. Reductive RG can provide a natural framework to understand asymptotic estimate problems. Some observations relevant to this problem and an example of a data-mining algorithm inspired by the consideration are exhibited.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
S. Rajaram, Y.-h. Taguchi, Y. Oono,