A framework for adaptive algorithm selection in STAPL.
Nathan L. ThomasGabriel TanaseOlga TkachyshynJack PerdueNancy M. AmatoLawrence RauchwergerPublished in: PPOPP (2005)
Keyphrases
- dynamic programming
- improved algorithm
- computational complexity
- learning algorithm
- selection algorithm
- probabilistic model
- graph based algorithm
- times faster
- experimental evaluation
- optimal solution
- preprocessing
- cost function
- k means
- high accuracy
- detection algorithm
- data sets
- objective function
- convergence rate
- convex hull
- search algorithm
- expectation maximization
- input data
- theoretical analysis
- optimization algorithm
- clustering method
- matching algorithm
- linear programming
- denoising
- recognition algorithm
- artificial neural networks
- np hard
- estimation algorithm
- significant improvement