Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines

Author:

Cho KyungHyun,Ilin Alexander,Raiko Tapani

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. Ackley, D.H., Hinton, G.E., Sejnowski, T.J.: A learning algorithm for Boltzmann machines. Cognitive Science 9, 147–169 (1985)

2. Cho, K.: Improved Learning Algorithms for Restricted Boltzmann Machines. Master’s thesis, Aalto University School of Science (2011)

3. Cho, K., Raiko, T., Ilin, A.: Parallel tempering is efficient for learning restricted boltzmann machines. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2010), Barcelona, Spain (July 2010)

4. Coates, A., Lee, H., Ng, A.Y.: An Analysis of Single-Layer Networks in Unsupervised Feature Learning. In: NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning (2010)

5. Desjardins, G., Courville, A., Bengio, Y.: Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs. In: NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning (2010)

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