Improved Neuronal Ensemble Inference with Generative Model and MCMC.
Shun KimuraKeisuke OtaKoujin TakedaPublished in: CoRR (2021)
Keyphrases
- generative model
- markov chain monte carlo
- probabilistic model
- boltzmann machine
- bayesian framework
- gibbs sampling
- mixture model
- em algorithm
- bayesian inference
- posterior probability
- discriminative learning
- latent dirichlet allocation
- dirichlet process mixture models
- dirichlet process
- prior knowledge
- topic models
- conditional random fields
- expectation maximization
- semi supervised
- sampling algorithm
- pitman yor process
- feature selection
- training data
- learning algorithm
- image classification
- bayesian networks
- fully bayesian
- generative and discriminative models