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 3246 – 3253, 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)},
    language = {eng},
    month = {July},
    pages = {3246 -- 3253},
    title = {Parallel Tempering is Efficient for Learning Restricted Boltzmann Machines},
    year = {2010},
}