Reinforcement Learning Based Model Selection and Parameter Estimation for Pharmacokinetic Analysis in Drug Selection.
Fei GaoJingjia XuHuafeng LiuPengcheng ShiPublished in: AE-CAI (2013)
Keyphrases
- model selection
- parameter estimation
- selection criterion
- cross validation
- reinforcement learning
- statistical models
- hyperparameters
- least squares
- machine learning
- regression model
- random fields
- approximate inference
- sample size
- statistical learning
- maximum likelihood
- marginal likelihood
- posterior distribution
- statistical inference
- parameter estimation algorithm
- mixture model
- markov random field
- model selection criteria
- em algorithm
- likelihood function
- variable selection
- parameter values
- bayesian model selection
- markov chain monte carlo
- image reconstruction
- conditional random fields
- image sequences