A variational approach to learning curves

Malzahn, Dorthe and Opper, Manfred (2002). A variational approach to learning curves. Advances in Neural Information Processing Systems, 14 ,


We combine the replica approach from statistical physics with a variational approach to analyze learning curves analytically. We apply the method to Gaussian process regression. As a main result we derive approximative relations between empirical error measures, the generalization error and the posterior variance.

Divisions: Aston University (General)
Additional Information: Copyright of Massachusetts Institute of Technology Press (MIT Press). Available from Google Scholar.
Uncontrolled Keywords: Gaussian process regression,generalization error,posterior variance
Full Text Link:
Related URLs: http://mitpress ... type=2&tid=8782 (Publisher URL)
Published Date: 2002-09
Authors: Malzahn, Dorthe
Opper, Manfred



Version: Accepted Version

Export / Share Citation


Additional statistics for this record