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Showing 1 to 2 of 2 for “"Gaussian conditional random fields"”.
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An Efficient Ranking and Classification Method for Linear Functions, Kernel Functions, Decision Trees, and Ensemble Methods
… Frank-Wolfe optimizations of pairwise losses and Gaussian conditional random fields for multivariate output regression are two such structural algorithms. Pairwise losses are standard 0-1 classification surrogate losses applied to pairs of features and outputs, resulting in improved ranking …
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Toward more scalable structured models
… in high-dimensional spaces. First, we extend Gaussian conditional random fields, traditionally unimodal and only capturing pairwise variables interactions, to model multi-modal distributions with high-order dependencies between the output space variables, while enabling exact inference and …