A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer
作者： P.J.G. Lisboa , H. Wong , P. Harris , R. Swindell
DOI: 10.1016/S0933-3657(03)00033-2
关键词: Proportional hazards model 、 Data mining 、 Akaike information criterion 、 Relevance (information retrieval) 、 Artificial neural network 、 Breast cancer 、 Feedforward neural network 、 Computer science 、 Model selection 、 Cohort study
摘要: … However, the main limitation of generic non-linear models such as neural networks is … variables in the model, the Bayesian framework can be utilized in full to carry out model selection. …
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