Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines.
Guido MontúfarNihat AyPublished in: Neural Comput. (2011)
Keyphrases
- deep belief networks
- restricted boltzmann machine
- deep learning
- unsupervised learning
- hierarchical models
- probabilistic model
- generative model
- learning algorithm
- machine learning
- sparse coding
- probabilistic graphical models
- conditional random fields
- approximate inference
- semi supervised
- image classification
- feature selection
- expectation maximization
- latent variables
- approximation algorithms
- hierarchical model
- bayesian networks