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Algebraic Structure in Graphical Models

From SIAG-AG

Revision as of 11:34, 17 November 2014 by Blekherman (Talk | contribs)
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Algebraic and geometric properties such as sparsity, low rank, and convexity have played a prominent role in the development of new methodology for inference in graphical models. These ideas have also broadened the range of problem domains to which graphical modeling techniques have been fruitfully applied (e.g., phylogeny, gene expression analysis). This session will highlight exciting recent developments spanning the spectrum from theoretical advances to new applications.

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