Joint Learning of Multiple Differential Networks With Latent Variables
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DOI: 10.1109/tcyb.2018.2845838
Abstract: Graphical models have been widely used to learn the conditional dependence structures among random variables. In many controlled experiments, such as the studies of disease or drug effectiveness, learning the structural changes of graphical models… read more here.
Keywords: differential networks; graphical models; multiple differential; networks latent ... See more keywords