Probabilistic visualisation of high-dimensional binary data

Advances in Neural Information Processing Systems

Volumn , Issue , 1999, Pages 592-598

  Tipping, Michael E ^a  

^a MICROSOFT RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY DATA; CATEGORICAL DATA; FAST ALGORITHMS; HIGH-DIMENSIONAL; KEY FEATURE; MODEL PARAMETERS; VARIATIONAL APPROXIMATION;

DATA VISUALIZATION;

EID: 84899007505     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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3. Bishop, C. M. and M. E. Tipping (1998). A hierarchical latent variable model for data visualization. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(3), 281-293.
4. Jaakkola, T. S. and M. I. Jordan (1997). Bayesian logistic regression: a variational approach. In D. Madigan and P. Smyth (Eds.), Proceedings of the 1997 Conference on Artificial Intelligence and Statistics, Ft Lauderdale, FL.
5. Lowe, D. and M. E. Tipping (1997). Neuroscale: Novel topographic feature extraction with radial basis function networks. In M. Mozer, M. Jordan, and T. Petsche (Eds.), Advances in Neural Information Processing Systems 9, pp. 543-549. Cambridge, Mass: MIT Press.
6. Mackay, D. J. C. (1995). Bayesian neural networks and density networks. Nuclear Instruments and Methods in Physics Research, Section A 354(1), 73-80.
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8. Sammel, M. D., L. M. Ryan, and J. M. Legier (1997). Latent variable models for mixed discrete and continuous outcomes. Journal of the Royal Statistical Society, Series B 59, 667-678.