Issues in Bayesian analysis of neural network models
Neural Computation
Comparison of approximate methods for handling hyperparameters
Neural Computation
Linearly Combining Density Estimators via Stacking
Machine Learning
Manifold Stochastic Dynamics for Bayesian Learning
Neural Computation
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