We develop a structured Bayesian group factor analysis model that extends the factor model to multiple coupled observation matrices; in the case of two ...
We develop a structured Bayesian group factor analysis model that extends the factor model to multiple coupled observation matrices; in the case of two ...
Nov 11, 2014 · We develop a structured Bayesian group factor analysis model that extends the factor model to multiple coupled observation matrices; in the case ...
A structured Bayesian group factor analysis model is developed that extends the factor model to multiple coupled observation matrices and allows for both ...
In particular, our model puts a structured prior on the joint factor loading matrix, regularizing at three levels, which enables element-wise sparsity and ...
A factor analysis model is introduced that summarizes the dependencies between observed variable groups, instead of dependencies between individual ...
Apr 1, 2016 · We develop a structured Bayesian group factor analysis model that extends the factor model to multiple coupled observation matrices; in the case ...
BASS stands for Bayesian group factor Analysis with Structured Sparsity priors. It extends traditional factor analysis model to m coupled observation matrices ( ...
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We introduce a factor analysis model that summarizes the dependencies between observed variable groups, instead of dependencies between individual variables ...
Figure 3: The GFA model finds the correct sparsity structure F for three very different distributions over different types of factors in the data. The thick ...