A fast and accurate method for determining a lower bound on execution time.
Grigori FursinMichael F. P. O'BoyleOlivier TemamG. WattsPublished in: Concurr. Comput. Pract. Exp. (2004)
Keyphrases
- lower bound
- highly accurate
- computationally efficient
- high accuracy
- high precision
- objective function
- prior knowledge
- detection method
- significant improvement
- mutual information
- support vector machine
- clustering method
- cost function
- classification method
- neural network
- completely automatic
- detection algorithm
- optimization method
- convergence rate
- optimization algorithm
- theoretical analysis
- input data
- classification accuracy
- probabilistic model
- computational cost
- evolutionary algorithm
- feature space
- computational complexity
- support vector
- optimal solution
- high quality