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CaltechAUTHORS (California Institute of Technology)· 2014

Tensor decompositions for learning latent variable models

Animashree Anandkumar, Rong Ge, Daniel Hsu, Sham M. Kakade et al.

Short summary

A new method uses tensor decompositions to efficiently estimate parameters in latent variable models like Gaussian mixture models and hidden Markov models.

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Field: Computational Mathematics

Computational MathematicsMathematics