Daniel Elliott
Daniel Elliott
Lindsay Corporation
Bestätigte E-Mail-Adresse bei alumni.colostate.edu
Titel
Zitiert von
Zitiert von
Jahr
Faster reinforcement learning after pretraining deep networks to predict state dynamics
CW Anderson, M Lee, DL Elliott
2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015
562015
EM in high-dimensional spaces
BA Draper, DL Elliott, J Hayes, K Baek
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 35 …, 2005
122005
Gradient boosting in crowd ensembles for Q-learning using weight sharing
DL Elliott, KC Santosh, C Anderson
International Journal of Machine Learning and Cybernetics, 1-13, 2020
52020
Using supervised training signals of observable state dynamics to speed-up and improve reinforcement learning
DL Elliott, C Anderson
2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014
52014
Recurrent neural networks for moisture content prediction in seed corn dryer buildings
DL Elliott, RE Valentine
2011 IEEE 23rd International Conference on Tools with Artificial …, 2011
42011
Covariance regularization in mixture of gaussians for high-dimensional image classification
DL Elliott
Colorado State University, 2009
32009
THE WISDOM OF THE CROWD: RELIABLE DEEP REINFORCEMENT LEARNING THROUGH ENSEMBLES OF Q-FUNCTIONS
DL Elliott
Colorado State University, 2018
22018
A multi-institutional feasibility study of a novel cloud-based and GPU-accelerated clinical workflow for adaptive radiotherapy
A Santhanam, DL Elliott, P Potrebko, S Seshan, M Cao, D Low
Proceedings of the AAPM, 2019
12019
Covariance Regularization for Supervised Learning in High Dimensions
DL Elliott, CW Anderson, M Kirby
Proceedings of ANNIE, 2010
12010
An adversarial machine-learning-based approach and biomechanically guided validation for improving deformable image registration accuracy between a planning CT and cone-beam CT …
AP Santhanam, M Lauria, B Stiehl, D Elliott, S Seshan, S Hsieh, M Cao, ...
Medical Imaging 2020: Image Processing 11313, 113130P, 2020
2020
Session 14 - Healthcare: Exploring Task Decomposition with Ensemble Approach using Reinforcement Learning
R Nusrat, D Elliott, KC Santosh
2020
Thanks to our referees
M Aboulghar, A Agarwal, C Albano, M Alikani, C Allan, S Avery, K Baek, ...
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