Lower bounds for the divergence of orientational estimators.
Robert J. ValkenburgRamakrishna KakaralaPublished in: IEEE Trans. Inf. Theory (2001)
Keyphrases
- lower bound
- upper bound
- branch and bound algorithm
- branch and bound
- lower and upper bounds
- np hard
- objective function
- linear programming relaxation
- vc dimension
- worst case
- variance estimator
- optimal solution
- upper and lower bounds
- kullback leibler
- analytical expressions
- randomly generated problems
- max sat
- lower bounding
- relative entropy
- concept class
- online algorithms
- kl divergence
- optimal cost
- learning algorithm
- confidence intervals
- least squares
- gamma distributions
- set of randomly generated instances