An approximation algorithm for random generation of capacities.
Michel GrabischChristophe LabreuchePeiqi SunPublished in: CoRR (2022)
Keyphrases
- learning algorithm
- experimental evaluation
- dynamic programming
- optimization algorithm
- theoretical analysis
- convergence rate
- preprocessing
- probabilistic model
- computational cost
- approximation ratio
- times faster
- detection algorithm
- single pass
- randomly generated
- worst case
- input data
- objective function
- matching algorithm
- cost function
- lower bound
- neural network
- improved algorithm
- search algorithm
- monte carlo
- computational complexity
- segmentation algorithm
- search space
- expectation maximization
- image registration
- state space
- k means
- significant improvement