Data-driven modeling for magnetic field variations using the GLO-MAP algorithm.
Taewook LeeManoranjan MajjiPuneet SinglaPublished in: Comput. Geosci. (2020)
Keyphrases
- data driven
- magnetic field
- detection algorithm
- expectation maximization
- recognition algorithm
- preprocessing
- dynamic programming
- optimization algorithm
- k means
- high accuracy
- experimental evaluation
- significant improvement
- simulated annealing
- neural network
- cost function
- times faster
- similarity measure
- computational cost
- cellular automata
- convergence rate
- working principle
- segmentation algorithm
- probabilistic model
- high resolution
- search space
- lower bound
- optimal solution
- objective function
- learning algorithm