Linear-Nonlinear-Poisson Neurons Can Do Inference On Deep Boltzmann Machines
Louis Yuanlong ShaoPublished in: ICLR (Workshop Poster) (2013)
Keyphrases
- boltzmann machines
- boltzmann machine
- closed form
- learning tasks
- partition function
- learning rules
- neural network
- undirected graphical models
- approximate inference
- nonlinear functions
- conditional random fields
- maximum likelihood estimation
- belief propagation
- loopy belief propagation
- generative model
- least squares
- upper bound
- machine learning