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Convex optimization techniques for fitting sparse Gaussian graphical models.

Onureena BanerjeeLaurent El GhaouiAlexandre d'AspremontGeorges Natsoulis
Published in: ICML (2006)
Keyphrases
  • gaussian graphical models
  • graphical models
  • linear models
  • belief propagation
  • convex optimization
  • optimization problems
  • machine learning
  • image retrieval
  • least squares