The paper's main result shows that periodic activation functions in Bayesian neural networks establish a direct connection between the prior on the network weights and the spectral density of the ...

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Abstract: In this paper, a new method for Bayesian periodic parameter estimation is derived using periodic cost functions. The method, named parameter estimation via root finding (PERF), is based on ...

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THE present book by one of the earliest workers in the subject treated in it promises to become a standard work. In some 190 pages it gives an account of the fundamental theorems dealing with almost ...