Parameter Estimation for Reaction Rate Equation Constrained Mixture Models.
Carolin LoosAnna FiedlerJan HasenauerPublished in: CMSB (2016)
Keyphrases
- parameter estimation
- mixture model
- em algorithm
- expectation maximization
- model selection
- maximum likelihood
- gaussian mixture model
- statistical models
- generative model
- maximum likelihood estimation
- gaussian mixture
- least squares
- density estimation
- likelihood function
- random fields
- cross validation
- unsupervised learning
- probabilistic model
- posterior distribution
- probability density function
- parameter estimation algorithm
- mixture modeling
- automatic model selection
- maximum a posteriori
- language model
- markov random field
- gaussian distribution
- approximate inference
- gibbs sampling
- markov chain monte carlo
- optical flow
- exponential family
- parameter estimates
- variational inference
- feature selection
- learning algorithm
- information retrieval