Learning Generative Models for Active Inference using Tensor Networks.
Samuel T. WauthierBram VanheckeTim VerbelenBart DhoedtPublished in: CoRR (2022)
Keyphrases
- generative model
- discriminative learning
- boltzmann machine
- parameter learning
- learning process
- learning algorithm
- efficient learning
- prior knowledge
- probabilistic model
- deep learning
- em algorithm
- mixture model
- conditional random fields
- discriminative methods
- representational power
- structured prediction
- weakly supervised
- learning tasks
- maximum likelihood
- semi supervised
- information extraction
- active learning
- object recognition