Incorporating prior information into semidefinite relaxation of quadratic optimization problems.

Jake Gunther Todd K. Moon

Published in: ACSCC (2011)

Keyphrases

semidefinite
prior information
quadratic optimization problems
semidefinite programming
convex relaxation
bayesian inference
prior knowledge
sufficient conditions
interior point methods
hyperparameters
higher dimensional
linear programming
multi label
feature selection
finite dimensional