Neural networks are considered by many to be very promising tools for classification and prediction. The flexibility of the neural network models often result in over-fit. Shrinking the parameters using a penalized likelihood is often used in order to overcome such over-fit. In this paper we extend
Bayesian analysis of censored data
β Scribed by J.K Ghosh; R.V Ramamoorthi; K.R Srikanth
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 133 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0167-7152
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