Multi-method algorithms: Investigating the entity-to-algorithm allocation problem.
Jacomine GroblerAndries P. EngelbrechtGraham KendallVenkata S. S. YadavalliPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- computational cost
- significant improvement
- computational complexity
- computationally efficient
- synthetic and real world datasets
- theoretical analysis
- computational efficiency
- classification algorithm
- cost function
- preprocessing
- high accuracy
- single pass
- convergence rate
- learning algorithm
- recently developed
- computational speed
- objective function
- synthetic and real datasets
- improved algorithm
- dynamic programming
- synthetic and real data sets
- noisy data
- combinatorial optimization
- previously published methods
- heuristic rules
- detection method
- detection algorithm
- times faster
- optimization algorithm
- segmentation algorithm
- sampling algorithm
- experimental evaluation
- k means
- hill climbing
- exhaustive search
- segmentation method
- highly efficient
- worst case
- provably convergent
- recognition algorithm
- fast fourier transform
- decomposition algorithm
- clustering method
- similarity measure
- optimization method
- hybrid algorithm
- filtering algorithm
- search space
- regression algorithm
- stopping criterion
- synthetic and real world data sets
- nearest neighbour
- apriori algorithm
- support vector machine svm
- pruning strategy
- energy function
- data structure
- probabilistic model
- tree structure
- randomized algorithm
- clustering algorithm
- np hard
- support vector machine
- optimization problems
- model free
- matching algorithm
- lower bound
- recursive least squares
- particle swarm optimization
- suffix tree