High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model.
Jwala DhamalaSandesh GhimireJohn L. SappB. Milan HorácekLinwei WangPublished in: CoRR (2020)
Keyphrases
- generative model
- posterior probability
- high dimensional
- probabilistic model
- sparse coding
- prior distribution
- mixture model
- bayesian framework
- markov chain monte carlo
- discriminative learning
- low dimensional
- fully bayesian
- em algorithm
- prior knowledge
- latent space
- discriminative models
- e learning
- dimensionality reduction
- semi supervised
- bayesian networks
- topic models
- dirichlet process mixture models
- latent dirichlet allocation
- posterior distribution
- high dimensional data
- bayesian inference
- maximum entropy
- feature space
- computer vision
- parameter space
- gaussian processes
- machine learning
- semi supervised learning
- expectation maximization
- similarity measure
- learning algorithm