Malzahn, Dorthe and Opper, Manfred (2001). Learning curves for Gaussian processes models: fluctuations and universality. IN: Artificial Neural Networks — ICANN 2001. Dorffner, G.; Bischof, H. and Hornik, K. (eds) Lecture Notes in Computer Science, 2130 . AUT: Springer.
Abstract
Based on a statistical mechanics approach, we develop a method for approximately computing average case learning curves and their sample fluctuations for Gaussian process regression models. We give examples for the Wiener process and show that universal relations (that are independent of the input distribution) between error measures can be derived.
| Publication DOI: | https://doi.org/10.1007/3-540-44668-0_39 |
|---|---|
| Divisions: | Aston University (General) |
| Additional Information: | The original publication is available at www.springerlink.com |
| Event Title: | Artificial Neural Networks 2001 |
| Event Type: | Other |
| Event Dates: | 2001-08-21 - 2001-08-25 |
| Uncontrolled Keywords: | statistical,mechanics,computing average,learning curves,sample fluctuations,Gaussian process regression,Wiener process,universal relations,error measures |
| ISBN: | 9783540424864 |
| Last Modified: | 29 Nov 2024 08:57 |
| Date Deposited: | 14 Sep 2009 14:30 |
| Full Text Link: | |
| Related URLs: |
http://www.spri ... hdlkvp30u92dev/
(Publisher URL) |
PURE Output Type: | Chapter |
| Published Date: | 2001-01-01 |
| Authors: |
Malzahn, Dorthe
Opper, Manfred |
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