Use of symbolic and numeric methods in an algorithm for the approximation of multivariate functions.
David K. KahanerMark B. WellsPublished in: SYMSACC (1976)
Keyphrases
- computational cost
- significant improvement
- preprocessing
- synthetic and real datasets
- learning algorithm
- dynamic programming
- heuristic methods
- exhaustive search
- detection algorithm
- cost function
- objective function
- optimal solution
- monte carlo
- approximation methods
- theoretical guarantees
- synthetic and real images
- statistical tests
- iterative algorithms
- noisy data
- np hard
- linear programming
- error tolerance
- multivariate decision trees
- genetic algorithm
- polynomial time approximation
- randomized approximation
- density estimation
- image set
- spectral clustering
- error bounds
- itemsets
- probabilistic model
- evolutionary algorithm
- computational complexity