The worm algorithm for the Ising model is rapidly mixing.
Andrea CollevecchioTimothy M. GaroniTimothy HyndmanDaniel TokarevPublished in: CoRR (2014)
Keyphrases
- recognition algorithm
- cost function
- algorithm employs
- detection algorithm
- classification algorithm
- theoretical analysis
- probabilistic model
- parameter estimation
- objective function
- mathematical model
- tree structure
- dynamic programming
- kalman filter
- bayesian framework
- input data
- optimization model
- algorithm has been developed
- closed form
- selection algorithm
- energy function
- final result
- neural network
- significant improvement
- learning algorithm
- computational complexity
- maximum likelihood estimation
- linear model
- convergence rate
- computational cost
- probability distribution
- worst case
- particle swarm optimization
- graph cuts
- monte carlo
- similarity measure
- bayesian networks
- model free
- optimization algorithm
- clustering method
- random fields
- search space
- evolutionary algorithm
- simulated annealing
- probability density function
- markov random field
- prior information
- optimization method
- hidden markov models