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Bayesian learning for neural networks
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
Priors for Infinite Networks
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Chapter 3
Monte Carlo Implementation
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Chapter 4
Evaluation of Neural Network Models
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Chapter 5
Conclusions and Further Work
Overall attention for this book and its chapters
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Mentioned by
blogs
2
blogs
twitter
8
X users
syllabi
5
institutions with syllabi
wikipedia
7
Wikipedia pages
Citations
dimensions_citation
1876
Dimensions
Readers on
mendeley
913
Mendeley
Book overview
1. Introduction
2. Priors for Infinite Networks
3. Monte Carlo Implementation
4. Evaluation of Neural Network Models
5. Conclusions and Further Work
Summary
Blogs
X
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
9
syllabi from
5
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Rensselaer Polytechnic Institute
2
Unknown
Moscow State University of Economics, Statistics and Informatics
1
Anthropology, Psychology
New Bulgarian University
1
Unknown
New Mexico State University-Main Campus
1
Art, Law
Unknown
4
Anthropology, Psychology