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Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes

  • Published:2023-01-01 Issue:1 Volume:45 Page:475-488
  • ISSN:0162-8828
  • Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
  • language:
  • Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Yu Hang1ORCID,Wu Songwei2,Dauwels Justin3

Affiliation:

1. Nanyang Technological Unversity, Singapore

2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

3. Electrical Engineering, Mathematics & Computer Science, Delft University of Technology, Delft, CD, The Netherlands

Funder

MOE (Singapore) Tier 2

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Reference53 articles.

1. Bayesian structure learning for stationary time series;tank;Proc Conf Uncertainty of Artificial Intelligence,2015

2. Topology selection in graphical models of autoregressive processes;songsiri;J Mach Learn Res,2010

3. An Efficient Approach to Graphical Modeling of Time Series

4. A test statistic for graphical modelling of multivariate time series

5. Graphical interaction models for multivariate time series 1

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