Structured Regression on Multiscale Networks
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DOI: 10.1109/mis.2017.37
Abstract: Structure-based regression algorithms generally suffer substantive speed losses and have exacting memory requirements compared to their structureless counterparts. Gaussian conditional random field (GCRF) models are one of the most time- and memory-efficient approaches to structured… read more here.
Keywords: regression; time; structured regression; multiscale networks ... See more keywords