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Deep temporal sigmoid belief networks for sequence modeling

Publication ,  Journal Article
Gan, Z; Li, C; Henao, R; Carlson, DE; Carin, L
Published in: Advances in Neural Information Processing Systems
2015

Duke Scholars

Published In

Advances in Neural Information Processing Systems

Publication Date

2015

Start / End Page

2467 / 2475

Related Subject Headings

  • 4611 Machine learning
  • 1702 Cognitive Sciences
  • 1701 Psychology
 

Citation

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ICMJE
MLA
NLM
Gan, Z., Li, C., Henao, R., Carlson, D. E., & Carin, L. (2015). Deep temporal sigmoid belief networks for sequence modeling. Advances in Neural Information Processing Systems, 2467–2475.
Gan, Zhe, Chunyuan Li, Ricardo Henao, David E. Carlson, and Lawrence Carin. “Deep temporal sigmoid belief networks for sequence modeling.” Advances in Neural Information Processing Systems, 2015, 2467–75.
Gan Z, Li C, Henao R, Carlson DE, Carin L. Deep temporal sigmoid belief networks for sequence modeling. Advances in Neural Information Processing Systems. 2015;2467–75.
Gan, Zhe, et al. “Deep temporal sigmoid belief networks for sequence modeling.” Advances in Neural Information Processing Systems, 2015, pp. 2467–75.
Gan Z, Li C, Henao R, Carlson DE, Carin L. Deep temporal sigmoid belief networks for sequence modeling. Advances in Neural Information Processing Systems. 2015;2467–2475.

Published In

Advances in Neural Information Processing Systems

Publication Date

2015

Start / End Page

2467 / 2475

Related Subject Headings

  • 4611 Machine learning
  • 1702 Cognitive Sciences
  • 1701 Psychology