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An Alternative Model for Classification by Neural Networks Based on Bayesian Methods
Language: en
Pages: 13
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Type: BOOK - Published: 2018 - Publisher:

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An alternative model to class conditional probability estimation for classification problems is introduced. The model assumes a deterministic mapping between in
Variational Bayes Deep Neural Network
Language: en
Pages: 153
Authors: Zihuan Liu
Categories: Electronic dissertations
Type: BOOK - Published: 2021 - Publisher:

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Bayesian neural networks (BNNs) have achieved state-of-the-art results in a wide range of tasks, especially in high dimensional data analysis, including image r
Models of Neural Networks III
Language: en
Pages: 322
Authors: Eytan Domany
Categories: Science
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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One of the most challenging and fascinating problems of the theory of neural nets is that of asymptotic behavior, of how a system behaves as time proceeds. This
NETLAB
Language: en
Pages: 444
Authors: Ian Nabney
Categories: Computers
Type: BOOK - Published: 2002 - Publisher: Springer Science & Business Media

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Getting the most out of neural networks and related data modelling techniques is the purpose of this book. The text, with the accompanying Netlab toolbox, provi
Bayesian Learning for Neural Networks
Language: en
Pages: 194
Authors: Radford M. Neal
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of thes