Discrete Component Analysis

@inproceedings{Buntine2005DiscreteCA,
  title={Discrete Component Analysis},
  author={Wray L. Buntine and Aleks Jakulin},
  booktitle={SLSFS},
  year={2005}
}
  • Wray L. Buntine, Aleks Jakulin
  • Published in SLSFS 2005
  • Computer Science, Mathematics
  • This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-negative matrix factorisation and latent Dirichlet allocation. The main families of algorithms discussed are a variational approximation, Gibbs sampling, and Rao-Blackwellised Gibbs sampling. Applications are presented for voting records from the United States Senate for 2003, and for the Reuters-21578 newswire collection. 

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 76 CITATIONS

    Software Newsroom - an approach to automation of news search and editing

    VIEW 12 EXCERPTS
    CITES METHODS & BACKGROUND
    HIGHLY INFLUENCED

    Machine learning - a probabilistic perspective

    • Kevin P. Murphy
    • Computer Science
    • Adaptive computation and machine learning series
    • 2012
    VIEW 4 EXCERPTS
    CITES METHODS
    HIGHLY INFLUENCED

    Mining Text Data

    VIEW 10 EXCERPTS
    CITES METHODS & BACKGROUND
    HIGHLY INFLUENCED

    Augmentable Gamma Belief Networks

    VIEW 2 EXCERPTS
    HIGHLY INFLUENCED

    A Unified View of Matrix Factorization Models

    VIEW 8 EXCERPTS
    CITES METHODS
    HIGHLY INFLUENCED

    FILTER CITATIONS BY YEAR

    2006
    2020

    CITATION STATISTICS

    • 8 Highly Influenced Citations

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 36 REFERENCES

    Mixed-membership models of scientific publications.

    Rao - Blackewellization of sampling schemes

    • C. P. Robert.
    • Biometrika
    • 2004

    Rao - Blackewellization of sampling schemes

    • C. P. Robert.
    • Biometrika
    • 2004

    Investigating the relationship between language model perplexity and ir precisionrecall measures

    • L. Azzopardi, M. Girolami, K. van Risjbergen
    • SIGIR ’ 03 : Proceedings of the 26 th annual international ACM SIGIR conference on Research and development in informaion retrieval , pages 369 – 370 ,
    • 2003