↓ Skip to main content

Learning in Graphical Models

Overview of attention for book
Learning in Graphical Models
Springer Netherlands

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Inference for Bayesian Networks
  3. Altmetric Badge
    Chapter 2 Advanced Inference in Bayesian Networks
  4. Altmetric Badge
    Chapter 3 Inference in Bayesian Networks Using Nested Junction Trees
  5. Altmetric Badge
    Chapter 4 Bucket Elimination: A Unifying Framework for Probabilistic Inference
  6. Altmetric Badge
    Chapter 5 An Introduction to Variational Methods for Graphical Models
  7. Altmetric Badge
    Chapter 6 Improving the Mean Field Approximation Via the Use of Mixture Distributions
  8. Altmetric Badge
    Chapter 7 Introduction to Monte Carlo Methods
  9. Altmetric Badge
    Chapter 8 Suppressing Random Walks in Markov Chain Monte Carlo Using Ordered Overrelaxation
  10. Altmetric Badge
    Chapter 9 Chain Graphs and Symmetric Associations
  11. Altmetric Badge
    Chapter 10 The Multiinformation Function as a Tool for Measuring Stochastic Dependence
  12. Altmetric Badge
    Chapter 11 A Tutorial on Learning with Bayesian Networks
  13. Altmetric Badge
    Chapter 12 A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
  14. Altmetric Badge
    Chapter 13 Latent Variable Models
  15. Altmetric Badge
    Chapter 14 Stochastic Algorithms for Exploratory Data Analysis: Data Clustering and Data Visualization
  16. Altmetric Badge
    Chapter 15 Learning Bayesian Networks with Local Structure
  17. Altmetric Badge
    Chapter 16 Asymptotic Model Selection for Directed Networks with Hidden Variables
  18. Altmetric Badge
    Chapter 17 A Hierarchical Community of Experts
  19. Altmetric Badge
    Chapter 18 An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering
  20. Altmetric Badge
    Chapter 19 Learning Hybrid Bayesian Networks from Data
  21. Altmetric Badge
    Chapter 20 A Mean Field Learning Algorithm for Unsupervised Neural Networks
  22. Altmetric Badge
    Chapter 21 Edge Exclusion Tests for Graphical Gaussian Models
  23. Altmetric Badge
    Chapter 22 Hepatitis B: A Case Study in MCMC
  24. Altmetric Badge
    Chapter 23 Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

news
1 news outlet
twitter
1 X user
wikipedia
3 Wikipedia pages

Readers on

mendeley
482 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Learning in Graphical Models
Published by
Springer Netherlands, December 2012
DOI 10.1007/978-94-011-5014-9
ISBNs
978-9-40-106104-9, 978-9-40-115014-9
Editors

Jordan, Michael I.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 482 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 3%
United Kingdom 7 1%
Germany 5 1%
France 5 1%
Spain 5 1%
Brazil 2 <1%
Canada 2 <1%
Switzerland 2 <1%
Hong Kong 1 <1%
Other 8 2%
Unknown 432 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 129 27%
Researcher 107 22%
Student > Master 42 9%
Professor 38 8%
Professor > Associate Professor 36 7%
Other 78 16%
Unknown 52 11%
Readers by discipline Count As %
Computer Science 194 40%
Engineering 77 16%
Mathematics 37 8%
Physics and Astronomy 16 3%
Agricultural and Biological Sciences 16 3%
Other 78 16%
Unknown 64 13%