Efficient PSO-based algorithm for parameter estimation of McKibben PAM model.
Atsushi OkabeTakahiro IshikawaKiminao KogisoYu NishiyamaPublished in: CCTA (2017)
Keyphrases
- parameter estimation
- em algorithm
- expectation maximization
- parameter estimation algorithm
- model fitting
- statistical models
- parameter values
- maximum likelihood estimation
- least squares
- random fields
- parameters estimation
- probabilistic model
- model selection
- maximum likelihood
- markov random field
- gibbs sampling
- experimental data
- similarity measure
- parameter estimates
- particle swarm optimization
- markov chain monte carlo
- posterior distribution
- kalman filter
- parametric models
- bayesian framework
- belief functions
- linear model
- feature selection
- likelihood function
- statistical model
- energy function
- segmentation algorithm
- probability distribution
- bayesian model selection