When a statistical estimation is carried out with a model that has layered parameters such as a neural network, the behavior of the generalization error and the optimum model design method are unknown, since unlike the regular model, the asymptotic behavior of the estimated parameters is not clear.
โฆ LIBER โฆ
The log-linear model with a generalized gamma distribution for the error: A Bayesian approach
โ Scribed by Jorge Alberto Achcar; Heleno Bolfarine
- Publisher
- Elsevier Science
- Year
- 1986
- Tongue
- English
- Weight
- 323 KB
- Volume
- 4
- Category
- Article
- ISSN
- 0167-7152
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