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
APA
Chicago
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