A Practical Bayesian Framework for Backpropagation Networks
نویسندگان
چکیده
منابع مشابه
A Practical Bayesian Framework for Backpropagation Networks
A quantitative and practical Bayesian framework is described for learning of mappings in feedforward networks. The framework makes possible (1) objective comparisons between solutions using alternative network architectures, (2) objective stopping rules for network pruning or growing procedures, (3) objective choice of magnitude and type of weight decay terms or additive regularizers (for penal...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 1992
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco.1992.4.3.448