小丑 发表于 2025-3-27 00:52:41
Michel Denuit,Donatien Hainaut,Julien TrufinProvides an exhaustive and self-contained presentation of neural networks applied to insurance.Can be used as course material or for self-study.Features a rigorous statistical analysis of neural netwo分散 发表于 2025-3-27 04:46:11
Springer Actuarialhttp://image.papertrans.cn/e/image/302812.jpg昆虫 发表于 2025-3-27 09:18:52
Feed-Forward Neural Networks,ward networks. First, we discuss the preprocessing of data and next we present a survey of the different methods for calibrating such networks. Finally, we apply the theory to an insurance data set and compare the predictive power of neural networks and generalized linear models.外来 发表于 2025-3-27 10:13:57
http://reply.papertrans.cn/31/3029/302812/302812_34.pngCloudburst 发表于 2025-3-27 15:30:39
Feed-Forward Neural Networks,ward networks. First, we discuss the preprocessing of data and next we present a survey of the different methods for calibrating such networks. Finally, we apply the theory to an insurance data set and compare the predictive power of neural networks and generalized linear models.tattle 发表于 2025-3-27 21:15:36
Bayesian Neural Networks and GLM,we cannot rely anymore on asymptotic properties of maximum likelihood estimators to approximate confidence intervals. Applying the Bayesian learning paradigm to neural networks or to generalized linear models results in a powerful framework that can be used for estimating the density of predictors.Etymology 发表于 2025-3-27 22:45:50
http://reply.papertrans.cn/31/3029/302812/302812_37.png态学 发表于 2025-3-28 06:04:28
Dimension-Reduction with Forward Neural Nets Applied to Mortality,lity. These networks contains a hidden layer, called bottleneck, that contains a few nodes compared to the previous layers. The output signals of neurons in the bottleneck carry a summarized information that aggregates input signals in a non-linear way. Bottleneck networks offer an interesting alterInsul岛 发表于 2025-3-28 10:12:27
http://reply.papertrans.cn/31/3029/302812/302812_39.png多余 发表于 2025-3-28 13:27:01
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