Sep 2, 2011 · In this paper, we present a new variational method for sparse regression using L_0 regularization. The variational parameters appear in the approximate model.

Dec 6, 2013 · It is defined on a model for multiple outputs and considers a linear combination of an input layer of basis functions governed by a Gaussian ...

Oct 22, 2024 · The variational approximation results in a model that is similar to Breiman's Garrote model. We refer to this method as the Variational Garrote ...

Jan 7, 2012 · Abstract We analyze the variational method for sparse regression using 0 regularization. The variational approximation results in a model ...

The variational approximation results in a model that is similar to Breiman's Garrote model. We refer to this method as the Variational Garrote (VG). The VG ...

The variational Garrote provides a simple approach for direct feature subset selection via a variational approximation to the posterior distribution over the ...

The variational approximation results in a model that is similar to Breiman's Garrote model. We refer to this method as the Variational Garrote (VG). The VG ...

porally smooth sources in the Variational Garrote. We derived the modified variational update rules and identified the role of the Markov prior parame- ters ...

A free platform for explaining your research in plain language, and managing how you communicate around it – so you can understand how best to increase its ...

We show its superiority compared to the original formulation and demonstrate its ability to correctly estimate both the sources' location and their magnitude.