Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI.
Wei LiuSuyash P. AwateJeffrey S. AndersonDeborah A. Yurgelun-ToddP. Thomas FletcherPublished in: MLMI (2011)
Keyphrases
- monte carlo
- hidden markov models
- expectation maximization
- baum welch
- em algorithm
- markov chain
- markov models
- sequential data
- resting state fmri
- monte carlo tree search
- conditional random fields
- mixture model
- particle filter
- probabilistic model
- gaussian mixture
- maximum likelihood
- gaussian mixture model
- machine learning
- maximum a posteriori
- k means
- image segmentation