On the optimal experimental design for heat and moisture parameter estimation.
Julien BergerDenys DutykhNathan MendesPublished in: CoRR (2016)
Keyphrases
- parameter estimation
- experimental design
- maximum likelihood
- model selection
- least squares
- markov random field
- empirical studies
- sample size
- em algorithm
- parameter estimation algorithm
- random fields
- active learning
- expectation maximization
- experimental designs
- optimal solution
- bayesian model selection
- feature selection
- image segmentation
- closed form
- machine learning
- higher order