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Bayesian Learning for Neural Networks (Lecture Notes in Statistics)
Bayesian Learning for Neural Networks - Lecture Notes in Statistics
Author: Radford M. Neal
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates how Bayesian methods allow complex neural network models to be used without fear of the "overfitting...  more »
ISBN-13: 9780387947242
ISBN-10: 0387947248
Publication Date: 8/9/1996
Pages: 204
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Publisher: Springer
Book Type: Paperback
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