What is recorded here?
Introduced contrastive divergence as an efficient approximate learning procedure for products of experts and demonstrated it with several latent-variable expert models.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is Hinton's sole-author 2002 paper and its product-of-experts experiments. Contrastive divergence is an approximation, not exact maximum-likelihood training or a convergence guarantee for every energy-based model.
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People and systems
Geoffrey E. Hinton
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
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Documented countries / regions: United Kingdom
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English catalogue narrative
Hinton: training products of experts by minimizing contrastive divergence
Introduced contrastive divergence as an efficient approximate learning procedure for products of experts and demonstrated it with several latent-variable expert models.
Scientific scope
The record is Hinton's sole-author 2002 paper and its product-of-experts experiments. Contrastive divergence is an approximation, not exact maximum-likelihood training or a convergence guarantee for every energy-based model.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Geoffrey E. Hinton
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.