New prior distribution for Bayesian neural network and learning via Hamiltonian Monte Carlo
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DOI: 10.1007/s12530-019-09288-3
Abstract: A prior distribution of weights for Multilayer feedforward neural network in Bayesian point of view plays a central role toward generalization. In this context, we propose a new prior law for weights parameters which motivate… read more here.
Keywords: neural network; hamiltonian monte; new prior; distribution ... See more keywords