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» The Convergence of Contrastive Divergences

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NIPS
2003

119views Information Technology» more NIPS 2003»

Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons

13 years 6 months ago

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This paper presents VLSI circuits with continuous-valued probabilistic behaviour realized by injecting noise into each computing unit(neuron). Interconnecting the noisy neurons fo...

Hsin Chen, Patrice Fleury, Alan F. Murray

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ICML
2009
IEEE

144views Machine Learning» more ICML 2009»

Using fast weights to improve persistent contrastive divergence

13 years 11 months ago

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The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...

Tijmen Tieleman, Geoffrey E. Hinton

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NIPS
2003

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Wormholes Improve Contrastive Divergence

13 years 6 months ago

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In models that deﬁne probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...

Geoffrey E. Hinton, Max Welling, Andriy Mnih

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NECO
2008

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Contrastive Divergence in Gaussian Diffusions

13 years 4 months ago