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2020 – today
- 2023
[j3]Daniel L. Elliott
, Charles W. Anderson:
The Wisdom of the Crowd: Reliable Deep Reinforcement Learning Through Ensembles of Q-Functions. IEEE Trans. Neural Networks Learn. Syst. 34(1): 43-51 (2023)- 2022
- [c4]Nicholas Rasmussen, Daniel L. Elliott, Muntasir Mamun, KC Santosh:
Cough Sound Analysis for the Evidence of Covid-19. CVMI 2022: 501-512 - 2020
- [j2]Daniel L. Elliott, KC Santosh, Charles Anderson:
Gradient boosting in crowd ensembles for Q-learning using weight sharing. Int. J. Mach. Learn. Cybern. 11(10): 2275-2287 (2020)
2010 – 2019
- 2015
- [c3]Charles W. Anderson, Minwoo Lee, Daniel L. Elliott:
Faster reinforcement learning after pretraining deep networks to predict state dynamics. IJCNN 2015: 1-7 - 2014
- [c2]Daniel L. Elliott, Charles Anderson:
Using supervised training signals of observable state dynamics to speed-up and improve reinforcement learning. ADPRL 2014: 1-8 - 2011
- [c1]Daniel L. Elliott, Russell E. Valentine:
Recurrent Neural Networks for Moisture Content Prediction in Seed Corn Dryer Buildings. ICTAI 2011: 934-935
2000 – 2009
- 2005
- [j1]Bruce A. Draper, Daniel L. Elliott, Jeremy Hayes, Kyungim Baek:
EM in high-dimensional spaces. IEEE Trans. Syst. Man Cybern. Part B 35(3): 571-577 (2005)
Coauthor Index
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