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Lecture Notes in Artificial Intelligence

Advanced Methodologies for Bayesian Networks

Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings

Editors: Suzuki, Joe, Ueno, Maomi (Eds.)

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About this book

This volume constitutes the refereed proceedings of the Second International Workshop on Advanced Methodologies for Bayesian Networks, AMBN 2015, held in Yokohama, Japan, in November 2015.

The 18 revised full papers and 6 invited abstracts presented were carefully reviewed and selected from numerous submissions. In the International Workshop on Advanced Methodologies for Bayesian Networks (AMBN), the researchers explore methodologies for enhancing the effectiveness of graphical models including modeling, reasoning, model selection, logic-probability relations, and causality. The exploration of methodologies is complemented discussions of practical considerations for applying graphical models in real world settings, covering concerns like scalability, incremental learning, parallelization, and so on.


Table of contents (18 chapters)

Table of contents (18 chapters)
  • Efficiently Learning Bayesian Network Structures Based on the B&B Strategy: A Theoretical Analysis

    Pages 1-14

    Suzuki, Joe

  • Constraint-Based Learning Bayesian Networks Using Bayes Factor

    Pages 15-31

    Natori, Kazuki (et al.)

  • Learning Bayesian Network Parameters from Small Data Set: A Spatially Maximum a Posteriori Method

    Pages 32-45

    Guo, Zhi-gao (et al.)

  • Hashing-Based Hybrid Duplicate Detection for Bayesian Network Structure Learning

    Pages 46-60

    Jahnsson, Niklas (et al.)

  • A Bayesian Network Approach for Predicting Purchase Behavior via Direct Observation of In-store Behavior

    Pages 61-75

    Zuo, Yi (et al.)

Buy this book

eBook $54.99
price for USA in USD
  • ISBN 978-3-319-28379-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-28378-4
  • Free shipping for individuals worldwide. COVID-19 shipping restrictions apply.
  • Immediate ebook access, if available*, with your print order
  • Usually ready to be dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Advanced Methodologies for Bayesian Networks
Book Subtitle
Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings
Editors
  • Joe Suzuki
  • Maomi Ueno
Series Title
Lecture Notes in Artificial Intelligence
Series Volume
9505
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-28379-1
DOI
10.1007/978-3-319-28379-1
Softcover ISBN
978-3-319-28378-4
Edition Number
1
Number of Pages
XVIII, 265
Number of Illustrations
102 illustrations in colour
Topics

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