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The constraint used is a constant generalized mean (" q-mean") which generates a family of q-Exponential distributions.
Eric Xing, Michael Jordan, and Stuart Russell, ''Graph partition strategies for generalized mean field inference". In Proc.
Such a set includes, e.g., any generalized mean of order p of the agents' initial states.
The proposed aggregation function is conceptually based on generalized mean of signals impinging on a neuron.
Eric P. Xing, Michael I. Jordan, and Stuart Russell, ''A generalized mean field algorithm for variational inference in exponential families". In Proc.
This work presents an artificial neural network using a neuron architecture called generalized mean neuron (GMN) model.
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We generalize means of Stolarsky type and show the monotonicity of these generalized means.
Coen, S., Randle, H. G., Sylvestre, T. & Erkintalo, M. Modeling of octave-spanning Kerr frequency combs using a generalized mean-field Lugiato Lefever model.
From his composition teachers at Columbia University, he absorbed the 12-tone technique but used it, he once explained, as "a generalized means of expression rather than a way to compose".
For a class of priors that admit the structure of a mixture of product measures, we propose a novel prior mass condition, under which the variational approximation error of the generalized mean-field class is dominated by convergence rate of the true posterior.
We obtain generalized means by setting, and applying to (1.3).
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