Boltzmann Machines is a type of stochastic recurrent neural network that uses an energy-based model to learn probability distributions over binary data, distinguished by its use of hidden units and symmetric connections to enable probabilistic inference and unsupervised learning.
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Probabilistic Matrix Factorization
Andriy Mnih, Ruslan Salakhutdinov · Neural Information Processing Systems · 2007 · 3.6K citations
Restricted Boltzmann machines for collaborative filtering
Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton · 2007 · 1.9K citations
Ruslan Salakhutdinov, Geoffrey E. Hinton · 2009 · 1.8K citations
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