Heuristic Parameter-Choice Rules for Convex Variational Regularization Based on Error Estimates.
Bangti JinDirk A. LorenzPublished in: SIAM J. Numer. Anal. (2010)
Keyphrases
- error estimates
- cross validation
- regularization parameter
- error estimation
- risk minimization
- convex optimization
- smoothing parameter
- simulated annealing
- provably correct
- variational framework
- image segmentation
- dynamic programming
- association rules
- convex hull
- optimal solution
- variational formulation
- model selection
- minimization problems
- error analysis
- machine learning
- upper bound
- artificial intelligence
- regularization methods
- bregman divergences
- free energy
- business rules
- support vector
- search algorithm
- least squares