A maximum likelihood method for estimating the parameters of a search model.
Dev P. ChakrabortyHong-Jun YoonPublished in: ISBI (2006)
Keyphrases
- maximum likelihood
- parameter estimation
- em algorithm
- parameter space
- maximum likelihood estimation
- probabilistic model
- statistical model
- cost function
- mathematical model
- likelihood function
- expectation maximization
- gaussian distribution
- objective function
- theoretical analysis
- sensitivity analysis
- linear model
- prior knowledge
- regression analysis
- parameter values
- autoregressive
- input data
- linear regression model
- parameters estimation
- similarity measure
- parametric models
- gaussian mixture
- normal distribution
- fuzzy inference system
- prediction model
- parameter learning
- closed form
- energy function
- estimation process
- pairwise
- reconstruction method
- modeling method
- fine tuning
- kinematic model
- evaluation method
- search methods
- model selection
- hyperparameters
- linear regression
- search strategy
- bayesian framework
- calibration method
- markov random field
- search algorithm
- neural network