EM Optimization of Latent-Variable Density Models

NIPS 1995: Proceedings of the 8th International Conference on Neural Information Processing Systems

Volumn , Issue , 1995, Pages 465-471

  Bishop, Christopher M ^a   Svensén, Markus ^a   Williams, Christopher K I ^a  

^a ASTON UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL EFFORT; DATA SET; DENSITY MODELING; EM OPTIMIZATIONS; HIDDEN VARIABLE; LATENT VARIABLE; MODEL-BASED OPC; OBSERVED DATA; UNDERLYING CAUSE; VARIABLE DENSITY;

TOYS;

EID: 85156220082     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Bishop, C. M. (1995). Neural Networks for Pattern Recognition. Oxford University Press.
2. Bishop, C. M. and G. D. James (1993). Analysis of multiphase flows using dualenergy gamma densitometry and neural networks. Nuclear Instruments and Methods in Physics Research A327, 580-593.
3. Dayan, P., G. E. Hinton, R. M. Neal, and R. S. Zemel (1995). The Helmhpltz machine. Neural Computation 7 (5), 889-904.
4. Hinton, G. E., C. K. I. Williams, and M. D. Revow (1992). Adaptive elastic models for hand-printed character recognition. In J. E. Moody, S. J. Hanson, and R. P. Lippmann (Eds.), Advances in Neural Information Processing Systems 4. Morgan Kauffmann.
5. Kohonen, T. (1995). Self-Organizing Maps. Berlin: Springer-Verlag.
6. Little, R. J. A. and D. B. Rubin (1987). Statistical Analysis with Missing Data. New York: John Wiley.
7. MacKay, D. J. C. (1995). Bayesian neural networks and density networks. Nuclear Instruments and Methods in Physics Research, A 354 (1), 73-80.
8. Tibshirani, R. (1992). Principal curves revisited. Statistics and Computing 2, 183-190.