Boltzmann machine

A Boltzmann machine is a type of stochastic recurrent neural network and Markov Random Field invented by Geoffrey Hinton and Terry Sejnowski in 1985… (More)
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1969-2018
020406019692018

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Highly Cited
2012
Highly Cited
2012
A Deep Boltzmann Machine is described for learning a generative model of data that consists of multiple and diverse input… (More)
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Highly Cited
2012
Highly Cited
2012
We present a new learning algorithm for Boltzmann machines that contain many layers of hidden variables. Data-dependent… (More)
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Highly Cited
2012
Highly Cited
2012
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can… (More)
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Highly Cited
2010
Highly Cited
2010
We describe a model based on a Boltzmann machine with third-order connections that can learn how to accumulate information about… (More)
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Highly Cited
2009
Highly Cited
2009
We present a new learning algorithm for Boltzmann machines that contain many layers of hidden variables. Data-dependent… (More)
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1999
1999
The nonnegative Boltzmann machine (NNBM) is a recurrent neural network model that can describe multimodal nonnegative data… (More)
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Highly Cited
1992
Highly Cited
1992
A Boltzmann machine is a network of stochastic neurons. The set of all the Boltzmann machines with a fixed topology forms a… (More)
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1992
1992
Training a Boltzmann machine with hidden units is appropriately treated in information geometry using the information divergence… (More)
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Highly Cited
1989
Highly Cited
1989
The Boltzmann machine learning procedure has been successfully applied in deterministic networks of analog units that use a mean… (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 some… (More)
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