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David J Stracuzzi
David J Stracuzzi
Verified email at sandia.gov
Title
Cited by
Cited by
Year
Many-layered learning
PE Utgoff, DJ Stracuzzi
Neural computation 14 (10), 2497-2529, 2002
2222002
Randomized variable elimination
DJ Stracuzzi, PE Utgoff
The Journal of Machine Learning Research 5, 1331-1362, 2004
882004
An application of transfer to american football: From observation of raw video to control in a simulated environment
DJ Stracuzzi, A Fern, K Ali, R Hess, J Pinto, N Li, T Konik, DG Shapiro
AI Magazine 32 (2), 107-125, 2011
372011
An application of transfer to american football: From observation of raw video to control in a simulated environment
DJ Stracuzzi, A Fern, K Ali, R Hess, J Pinto, N Li, T Konik, DG Shapiro
AI Magazine 32 (2), 107-125, 2011
372011
Relational temporal difference learning
N Asgharbeygi, D Stracuzzi, P Langley
Proceedings of the 23rd international Conference on Machine learning, 49-56, 2006
352006
Representing and reasoning over time in a symbolic cognitive architecture
DJ Stracuzzi, N Li, G Cleveland, P Langley
Proceedings of the 31st Annual Meeting of the Cognitive Science Society …, 2009
242009
Constructing game agents from video of human behavior
N Li, D Stracuzzi, G Cleveland, T Konik, D Shapiro, M Molineaux, D Aha, ...
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2009
172009
Randomized feature selection
DJ Stracuzzi
Computational methods of feature selection, 57-78, 2007
162007
Quantifying Uncertainty to Improve Decision Making in Machine Learning.
DJ Stracuzzi, MC Darling, MG Peterson, MG Chen
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
122018
Learning hierarchical skills from problem solutions using means-ends analysis
P Langley, N Li, N Nejati, DJ Stracuzzi
Proceedings of the Annual Meeting of the Cognitive Science Society 31 (31), 2009
122009
Improving acquisition of teleoreactive logic programs through representation extension
N Li, DJ Stracuzzi, P Langley
Advances in Cognitive Systems 1, 109-126, 2012
112012
Data-driven uncertainty quantification for multisensor analytics
DJ Stracuzzi, MC Darling, MG Chen, MG Peterson
Ground/Air Multisensor Interoperability, Integration, and Networking for …, 2018
102018
Toward uncertainty quantification for supervised classification
MC Darling, DJ Stracuzzi
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018
102018
Uncertainty quantification for machine learning
DJ Stracuzzi, MG Chen, MC Darling, MG Peterson, C Vollmer
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
92017
Computing quality scores and uncertainty for approximate pattern matching in geospatial semantic graphs
DJ Stracuzzi, RC Brost, CA Phillips, DG Robinson, AG Wilson, ...
Statistical Analysis and Data Mining: The ASA Data Science Journal 8 (5-6 …, 2015
92015
Determining the optimal time on X-ray analysis for transportation security officers
A Speed, A Silva, D Trumbo, D Stracuzzi, C Warrender, M Trumbo, K Divis
Foundations of Augmented Cognition: 9th International Conference, AC 2015 …, 2015
92015
Scalable knowledge acquisition through memory organization
DJ Stracuzzi
Helsinki University of Technology, 57-64, 2005
82005
Approximation via value unification
PE Utgoff, DJ Stracuzzi
ICML, 425-432, 1999
81999
Memory organization and knowledge transfer
D Stracuzzi
ICML Workshop on Structural Knowledge Transfer for Machine Learning, 2006
62006
Transfer of knowledge structures with relational temporal difference learning
D Stracuzzi, N Asgharbeygi
ICML Workshop on Structural Knowledge Transfer for Machine Learning 10 …, 2006
62006
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Articles 1–20