A Variational EM Approach to Predicting Uncertainty in Supervised Learning
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[1] David Barber,et al. Ensemble Learning for Multi-Layer Networks , 1997, NIPS.
[2] C. Bishop. Mixture density networks , 1994 .
[3] P. M. Williams,et al. Using Neural Networks to Model Conditional Multivariate Densities , 1996, Neural Computation.
[4] Geoffrey E. Hinton,et al. A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants , 1998, Learning in Graphical Models.
[5] Juha Karhunen,et al. Hierarchical models of variance sources , 2004, Signal Process..
[6] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[7] Geoffrey E. Hinton,et al. Keeping the neural networks simple by minimizing the description length of the weights , 1993, COLT '93.