Robust Bayesian mixture modelling

Author:

Svensén Markus,Bishop Christopher M.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference16 articles.

1. H. Attias, Learning parameters and structure of latent variables by variational Bayes, in: K.B. Laskey, H. Prade, (Eds.), Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence, 1999, pp. 21–30.

2. C.M. Bishop, D. Spiegelhalter, J. Winn, VIBES: a variational inference engine for Bayesian networks, in: Advances in Neural Information Processing Systems, vol. 15, MIT Press, Cambridge, MA, 2002, pp. 793–800.

3. C.M. Bishop, M. Svensén, Robust Bayesian mixture modelling, in: Proceedings of ESANN 2004, Bruges, Belgium, April 2004, pp. 69–74.

4. C.M. Bishop, J. Winn, Non-linear Bayesian image modelling, in: Proceedings of the Sixth European Conference on Computer Vision, Dublin, vol. 1, Springer, 2000, pp. 3–17.

5. Hierarchical Bayesian models for applications in information retrieval;Blei,2003

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