A Boltzmann machine is a type of stochastic recurrent neural network and Markov Random Field invented by Geoffrey Hinton and Terry Sejnowski in 1985â€¦Â (More)

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Highly Cited

2012

Highly Cited

2012

- Nitish Srivastava, Ruslan Salakhutdinov
- NIPS
- 2012

A Deep Boltzmann Machine is described for learning a generative model of data that consists of multiple and diverse inputâ€¦Â (More)

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Highly Cited

2012

Highly Cited

2012

- Ruslan Salakhutdinov, Geoffrey E. Hinton
- Neural Computation
- 2012

We present a new learning algorithm for Boltzmann machines that contain many layers of hidden variables. Data-dependentâ€¦Â (More)

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Highly Cited

2012

Highly Cited

2012

- Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
- 2012 IEEE Conference on Computer Vision andâ€¦
- 2012

While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they canâ€¦Â (More)

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Highly Cited

2010

Highly Cited

2010

- Hugo Larochelle, Geoffrey E. Hinton
- NIPS
- 2010

We describe a model based on a Boltzmann machine with third-order connections that can learn how to accumulate information aboutâ€¦Â (More)

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Highly Cited

2009

Highly Cited

2009

- Ruslan Salakhutdinov, Geoffrey E. Hinton
- AISTATS
- 2009

We present a new learning algorithm for Boltzmann machines that contain many layers of hidden variables. Data-dependentâ€¦Â (More)

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1999

1999

- Oliver B. Downs, David J. C. MacKay, Daniel D. Lee
- NIPS
- 1999

The nonnegative Boltzmann machine (NNBM) is a recurrent neural network model that can describe multimodal nonnegative dataâ€¦Â (More)

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Highly Cited

1992

Highly Cited

1992

- Shun-ichi Amari, Koji Kurata, Hiroshi Nagaoka
- IEEE Trans. Neural Networks
- 1992

A Boltzmann machine is a network of stochastic neurons. The set of all the Boltzmann machines with a fixed topology forms aâ€¦Â (More)

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1992

1992

- William J. Byrne
- IEEE Trans. Neural Networks
- 1992

Training a Boltzmann machine with hidden units is appropriately treated in information geometry using the information divergenceâ€¦Â (More)

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Highly Cited

1989

Highly Cited

1989

- Geoffrey E. Hinton
- Neural Computation
- 1989

The Boltzmann machine learning procedure has been successfully applied in deterministic networks of analog units that use a meanâ€¦Â (More)

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Highly Cited

1983

Highly Cited

1983

It is becoming increasingly apparent that some aspects of intelligent behavior require enormous computational power and that someâ€¦Â (More)

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