MCSS: a new algorithm for perception of maximal common substructures and its application to NMR spectral studies. 2. Applications.
Lingran ChenWolfgang RobienPublished in: J. Chem. Inf. Comput. Sci. (1992)
Keyphrases
- learning algorithm
- experimental evaluation
- optimal solution
- computational complexity
- optimization algorithm
- cost function
- np hard
- improved algorithm
- recognition algorithm
- times faster
- simulated annealing
- data structure
- search space
- segmentation algorithm
- genetic algorithm
- graph structure
- objective function
- convergence rate
- classification algorithm
- detection algorithm
- dynamic programming
- theoretical analysis
- expectation maximization
- particle swarm optimization
- worst case
- probabilistic model
- computational cost
- hidden markov models