Universal Approximation Depth and Errors of Narrow Belief Networks with Discrete Units
Work
Year: 2014
Type: letter
Abstract: We generalize recent theoretical work on the minimal number of layers of narrow deep belief networks that can approximate any probability distribution on the states of their visible units arbitrarily ... more
Source: Neural Computation
Author Guido Montúfar
Institution Pennsylvania State University
Cites: 24
Cited by: 38
Related to: 10
Citation percentile (by year/subfield): 92.59
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: green