Pages that link to "Item:Q3015455"
From MaRDI portal
The following pages link to Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines (Q3015455):
Displaying 18 items.
- Training restricted Boltzmann machines: an introduction (Q898295) (← links)
- Synchronous Boltzmann machines can be universal approximators (Q1921200) (← links)
- Deep Boltzmann machines: rigorous results at arbitrary depth (Q2042343) (← links)
- Exploiting layerwise convexity of rectifier networks with sign constrained weights (Q2181101) (← links)
- Hierarchical models as marginals of hierarchical models (Q2411283) (← links)
- \(p\)-adic statistical field theory and deep belief networks (Q2685103) (← links)
- Universal approximation results for the temporal restricted Boltzmann machine and the recurrent temporal restricted Boltzmann machine (Q2834488) (← links)
- Stochastic complexity and generalization error of a restricted Boltzmann machine in Bayesian estimation (Q2896076) (← links)
- Representational Power of Restricted Boltzmann Machines and Deep Belief Networks (Q3503734) (← links)
- Deep, Narrow Sigmoid Belief Networks Are Universal Approximators (Q3536226) (← links)
- Deep Belief Networks Are Compact Universal Approximators (Q3583502) (← links)
- Mixture decompositions of exponential families using a decomposition of their sample spaces (Q4917828) (← links)
- When Does a Mixture of Products Contain a Product of Mixtures? (Q5251565) (← links)
- Dimension of Marginals of Kronecker Product Models (Q5347296) (← links)
- An Infinite Restricted Boltzmann Machine (Q5380542) (← links)
- Universal Approximation Depth and Errors of Narrow Belief Networks with Discrete Units (Q5383782) (← links)
- Approximation Analysis of Convolutional Neural Networks (Q6090346) (← links)
- Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks (Q6488716) (← links)
