A Weighted Products of Gaussians

Neural Information Processing Systems 

A well-known result is that a product of Gaussian PDFs collapses to a scaled Gaussian PDF (e.g. This raises the question of what input to provide to neurons in the first layer, i.e. the base We consider three solutions: (1) None. Bayesian Linear-Gaussian Regression (BLR) model is described below. By adapting widely known equations (e.g. We can use this BLR formulation to convert the input features into probability densities.

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