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NIPS
2004

Unsupervised Variational Bayesian Learning of Nonlinear Models

13 years 5 months ago
Unsupervised Variational Bayesian Learning of Nonlinear Models
In this paper we present a framework for using multi-layer perceptron (MLP) networks in nonlinear generative models trained by variational Bayesian learning. The nonlinearity is handled by linearizing it using a Gauss
Antti Honkela, Harri Valpola
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where NIPS
Authors Antti Honkela, Harri Valpola
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