Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction.
Publication
, Journal Article
Song, Y; Viventi, J; Wang, Y
Published in: Corr
2016
Duke Scholars
Published In
Corr
Publication Date
2016
Volume
abs/1611.04899
Citation
APA
Chicago
ICMJE
MLA
NLM
Song, Y., Viventi, J., & Wang, Y. (2016). Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction. Corr, abs/1611.04899.
Song, Yilin, Jonathan Viventi, and Yao Wang. “Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction.” Corr abs/1611.04899 (2016).
Song Y, Viventi J, Wang Y. Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction. Corr. 2016;abs/1611.04899.
Song, Yilin, et al. “Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction.” Corr, vol. abs/1611.04899, 2016.
Song Y, Viventi J, Wang Y. Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction. Corr. 2016;abs/1611.04899.
Published In
Corr
Publication Date
2016
Volume
abs/1611.04899