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.
Neural Information Processing Systems
Aug-16-2025, 04:43:44 GMT
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