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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… 
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Related topics

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Artificial intelligenceArtificial neural networkBackpropagationComputer vision

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
AdS/CFT correspondence as a deep Boltzmann machine
We provide a deep Boltzmann machine (DBM) for the AdS/CFT correspondence. Under the philosophy that the bulk spacetime is a… 
Highly Cited
2015
Highly Cited
2015
Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis
Highly Cited
2014
Highly Cited
2014
Machine Learning: An Algorithmic Perspective, Second Edition
A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was… 
Highly Cited
2014
Highly Cited
2014
Study of immiscible displacements in porous media using a color-gradient-based multiphase lattice Boltzmann method
Highly Cited
2013
Highly Cited
2013
Multi-Prediction Deep Boltzmann Machines
We introduce the multi-prediction deep Boltzmann machine (MP-DBM). The MP-DBM can be seen as a single probabilistic model trained… 
Highly Cited
2012
Highly Cited
2012
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can… 
Highly Cited
2012
Highly Cited
2012
The Shape Boltzmann Machine: A Strong Model of Object Shape
A good model of object shape is essential in applications such as segmentation, detection, inpainting and graphics. For example… 
Review
2011
Review
2011
Ion-specific hydration effects: Extending the Poisson-Boltzmann theory
Highly Cited
1999
Highly Cited
1999
Microscopic origins of irreversible macroscopic behavior
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
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