Parallel Tempering is Efficient for Learning Restricted Boltzmann Machines

Reference:

KyungHyun Cho, Tapani Raiko, and Alexander Ilin. Parallel tempering is efficient for learning restricted boltzmann machines. In Proceedings of the International Joint Conference on Neural Networks (IJCNN 2010), pages 1–8, Barcelona, Spain, July 2010.

Suggested BibTeX entry:

@inproceedings{Cho10IJCNN,
    address = {Barcelona, Spain},
    author = {KyungHyun Cho and Tapani Raiko and Alexander Ilin},
    booktitle = {Proceedings of the International Joint Conference on Neural Networks (IJCNN 2010)},
    month = {July},
    pages = {1--8},
    title = {Parallel Tempering is Efficient for Learning Restricted Boltzmann Machines},
    year = {2010},
}