Efficient inference in matrix-variate Gaussian models with \iid observation noise
Stegle, Oliver, Lippert, Christoph, Mooij, Joris M., Lawrence, Neil D., Borgwardt, Karsten M.
–Neural Information Processing Systems
Inference in matriX-variate Gaussian models has major applications for multi-output prediction and joint learning of row and column covariances from matrix-Variate data.
Neural Information Processing Systems
Dec-31-2011
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- Europe > Germany > Baden-Württemberg > Tübingen Region > Tübingen (0.14)
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