scholar.google.com › citations
This paper proposes a new method for model assessment based on Renormalization Group. Renormalization Group is applied to the original data set to obtain ...
Model Assessment with Renormalization Group in Statistical Learning ... For improved accessibility of PDF content, download the file to your device. Thumbnails
Abstract—This paper proposes a new method for model assessment based on Renormalization Group. Renormaliza- tion Group is applied to the original data set ...
This paper proposes a new method for model assessment based on Renormalization Group. Renormalization Group is applied to the original data set to obtain ...
This paper proposes a new method for model assessment based on Renormalization Group. Renormalization Group is applied to the original data set to obtain ...
Bibliographic details on Model Assessment through Renormalization Group in Statistical Learning.
(2) Apply the three steps of renormalization in configuration space: (i) Coarse grain by b;. ′. ′ ... In general, we can study the stability of a fixed point by.
Dive into the research topics of 'Model assessment through renormalization group in statistical learning'. Together they form a unique fingerprint. Sort by ...
Mar 24, 1999 · We study the small-world network model, which mimics the transition between regular-lattice and random-lattice behavior in social networks of increasing size.
May 31, 2024 · In this talk I'll review an old result from machine learning theory that relates infinite neural networks and generalized free field theories.