Maximum likelihood learning of RBMs with Gaussian visible units on the Stiefel manifold

Maximum likelihood learning of RBMs with Gaussian visible units on the Stiefel manifold
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Stiefel 流形上具有高斯可见单元的 RBM 的最大似然学习

DOI:
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发表时间:
2016
期刊:
Proceedings of European Symposium on Artificial Neural Networks (ESANN) 2016
影响因子:
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通讯作者:
Shun-ichi Amari
Shun-ichi Amari
中科院分区:
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文献类型:
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作者:
Ryo Karakida;Masato Okada;Shun-ichi Amari

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