Bayesian Learning Techniques: Application to Neural Networks with Constraints on Weight Space

Authors:
A. Eleuteri;Roberto Tagliaferri;L. Milano;F. Acernese;M. De Laurentiis
Affiliations:
-;-;-;-;-
Venue:
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
Year:
2002

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Abstract

In this paper the fundamentals of Bayesian learning techniques are shown, and their application to neural network modeling is illustrated. Furthermore, it is shown how constraints on weight space can easily be embedded in a Bayesian framework. Finally, the application of these techniques to a complex neural network model for survival analysis is used as a significant example.