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Bayesian Learning for Neural Networks
Radford M. Neal
€ 228.49
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Description for Bayesian Learning for Neural Networks
Paperback. Demonstrates how Bayesian methods allow complex neural network models to be used without fear of the 'overfitting' that can occur with traditional training methods. This book provides insight into the nature of these complex Bayesian models by a theoretical investigation of the priors over functions that underlie them. Series: Lecture Notes in Statistics. Num Pages: 204 pages, biography. BIC Classification: PBT; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 10. Weight in Grams: 650.
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" that can occur with traditional training methods. Insight into the nature of these complex Bayesian models is provided by a theoretical investigation of the priors over functions that underlie them. A practical implementation of Bayesian neural network learning using Markov chain Monte Carlo methods is also described, and ... Read more
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" that can occur with traditional training methods. Insight into the nature of these complex Bayesian models is provided by a theoretical investigation of the priors over functions that underlie them. A practical implementation of Bayesian neural network learning using Markov chain Monte Carlo methods is also described, and ... Read more
Product Details
Format
Paperback
Publication date
1996
Publisher
Springer-Verlag New York Inc. United States
Number of pages
204
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
204
Place of Publication
New York, NY, United States
ISBN
9780387947242
SKU
V9780387947242
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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