Bayesian Learning Techniques: Application to Neural Networks with Constraints on Weight Space
作者： A. Eleuteri , R. Tagliaferri , L. Milano , F. Acernese , M. De Laurentiis
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摘要: In this paper the fundamentals of Bayesian learning techniques are shown, and their application to neural network modeling is illustrated. Furthermore, it shown how constraints on weight space can easily be embedded in a framework. Finally, these complex model for survival analysis used as significant example.
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