Concept Formation and Dynamics of Repeated Inference in Deep Generative Models.
Yoshihiro NaganoRyo KarakidaMasato OkadaPublished in: CoRR (2017)
Keyphrases
- generative model
- concept formation
- boltzmann machine
- parameter learning
- probabilistic model
- mixture model
- discriminative learning
- representational power
- conditional random fields
- discriminative models
- deep belief networks
- em algorithm
- hierarchical hidden markov models
- generative process
- bayesian inference
- semi supervised
- object categories
- latent dirichlet allocation
- hidden variables
- generative and discriminative models
- prior knowledge
- bayesian networks
- machine learning
- information extraction
- knowledge representation
- information retrieval
- belief networks
- domain knowledge
- natural language
- active learning
- bayesian network inference
- discriminative methods
- knowledge base
- maximum likelihood
- graphical models