Simulation-based inference for efficient identification of generative models in computational connectomics.
Jan BoeltsPhilipp HarthRichard GaoDaniel UdvaryFelipe YáñezDaniel BaumHans-Christian HegeMarcel OberländerJakob H. MackePublished in: PLoS Comput. Biol. (2023)
Keyphrases
- generative model
- boltzmann machine
- representational power
- parameter learning
- bayesian networks
- prior knowledge
- mixture model
- discriminative learning
- conditional random fields
- hidden variables
- latent dirichlet allocation
- probabilistic model
- topic models
- hierarchical hidden markov models
- generative and discriminative models
- maximum entropy principle
- object categories
- machine learning
- expectation maximization
- graphical models
- semi supervised
- image features
- pairwise
- learning algorithm