Change of Measure for Bayesian Field Inversion with Hierarchical Hyperparameters Sampling.
Nadège PoletteOlivier P. Le MaîtrePierre SochalaAlexandrine GesretPublished in: CoRR (2024)
Keyphrases
- hyperparameters
- random sampling
- posterior distribution
- bayesian inference
- sample size
- bayesian methods
- model selection
- maximum likelihood
- gaussian processes
- cross validation
- conjugate priors
- gaussian process
- closed form
- marginal likelihood
- markov chain monte carlo
- support vector
- maximum a posteriori
- bayesian framework
- em algorithm
- prior information
- image reconstruction
- parameter space
- incremental learning
- noise level
- data sets
- incomplete data
- active learning
- grid search
- bayesian networks
- similarity measure
- feature selection
- computer vision
- denoising
- machine learning
- probabilistic model
- missing values
- nearest neighbor